Data Scientist Jobs in Ontario, CA

Data Engineer - Hybrid (3 Days Onsite) - $120,000 - $140,000 per year on the base Our client is seeking an experienced Data Engineer to join their team in Irvine, CA on a hybrid basis (3 days onsite per week). Key Responsibilities: Design, develop, and manage AWS-based data solutions. Implement ETL processes and optimize SQL-based data pipelines. Work on Machine Learning and AI initiatives to improve data analytics. Collaborate with stakeholders to define data strategies for logistics, supply chain, and manufacturing operations. Utilize Power BI for data visualization and reporting. Requirements: 5+ years of experience in AWS data engineering. Strong skills in SQL, ETL, and Python. Exposure to Machine Learning and AI is preferred. Experience in logistics, manufacturing, or supply chain industries. Strong communication and stakeholder engagement skills. Hybrid work schedule - must be able to work in the office at least 3 days a week. If you are interest, apply today!

Job Summary: We are seeking a highly skilled and motivated Big Data Engineer to join our client's Big Data Platform team within the streaming domain. This role offers an exciting opportunity to work with large-scale data solutions that drive critical business decisions, including product design, advertising effectiveness, content discovery, and new market expansions. Our team values data as a core asset, leveraging it to enhance user experience, support advertisers, and empower content partners. We are looking for a technically proficient candidate who is eager to innovate and build cutting-edge data solutions. Key Responsibilities: Design, develop, and optimize scalable data solutions. Collaborate with cross-functional teams to drive data-driven decision-making. Implement and maintain batch and real-time data processing frameworks. Ensure data integrity, security, and compliance with industry best practices. Enhance self-service data capabilities for internal stakeholders. Basic Qualifications: Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience. Minimum of 3 years of experience in big data engineering, including modeling and developing large data pipelines. Proficiency in programming languages such as Scala, Java, and Python. Strong expertise in Hadoop ecosystem components, including Yarn and Resource Manager. Hands-on experience with distributed systems and batch processing technologies such as Apache Spark. Strong SQL skills for data exploration and analysis. Understanding of Software Development Lifecycle (SDLC) and best practices. Preferred Qualifications: Experience with real-time data processing technologies like Apache Flink. Familiarity with CI/CD pipelines for streamlined development and deployment. Ability to design and develop user interfaces for self-service data access. Strong problem-solving skills and ability to bridge technical and non-technical teams. Experience in integrating complex systems and enhancing software development practices.

As a Lead Data Engineer you will fill a new role Contract-to-hire role that sits on the data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you'll help move us forward: This role will leading a Jr team member and contractors * Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. * Design & build scalable products with robust security, quality and governance protocols. * Lead delivery of data engineering pipelines to enable Sales, Marketing, Advanced Analytics and CRM use-cases * Create low-level design artifacts, including mapping specifications. * Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using cloud based technologies. * Create unit/integration tests and implement automated build and deployment. * Participate in code reviews to ensure standards and best practices. * Deploy, monitor, and maintain production systems. * Use the Agile Framework to organize, manage and execute work. * Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. The experience you bring: * Bachelor's degree in Computer Science, Data Science or Statistics * 8+ years of experience in analysis, design, development, and delivery of data * 8+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools * Understanding of data engineering best practices and data integration patterns * 2+ years of experience with DevOps and CI/CD * 1+ years of experience (not just POC) in using Git and Python * Experience in agile methodologies. * Effective communication & facilitation; both verbal and written * Team-Oriented: Collaborating effectively with team and stakeholders * Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: * Experience with Customer, Product, or Contract data domains in Financial Service industry * Experience building Customer Data Platforms (CDP) or Customer 360 * Experience working with Azure Dev Ops (ADO), Build and Release CI/CD pipelines and orchestration * Expertise in Snowflake and DBT * Strong communicator, with skills leading and facilitating cross-functional teams * Experience with automation, scripting, and testing in data delivery environment * Understanding of data catalogs, glossary, data quality, and effective data governance * Financial Services/Investments/Insurance domain knowledge * Experience working in complex data systems Desired Skills and Experience Roth Staffing is looking for Data Engineer III for the client All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Senior Data Integration ETL Engineer Lead Work Location USA (Irvine, CA) (Onsite/Hybrid) Job Description: Design implement and manage AWS Cloud Infrastructure to ensure high availability scalability and security Develop and maintain CICD pipelines to automate the deployment process and ensure smooth and efficient software delivery Monitor system performance and security and implement necessary measures to ensure optimal operation Lead the adoption and implementation of Helix ensuring seamless integration with existing systems Provide support for Data Platform Services ensuring data integrity availability and performance Create and maintain detailed documentation on DevHub ensuring all processes and procedures are well documented and easily accessible Qualifications Proven experience in AWS Cloud Infrastructure CICD Monitoring and Security Strong knowledge of Helix adoption and implementation Experience supporting Data Platform Services Excellent documentation skills and experience with DevHub Strong problem-solving skills and the ability to work in a fast paced environment Excellent communication and leadership skills Mandatory Skills: ANSI-SQL, Cognos Analytics, MicroStrategy, MS Excel, PowerBI, Python, QlikView, SAP Business Objects, Tableau Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

Senior Data Engineer Duration: Long term contract Salary range: $67-75/Hour Required Skills & Experience 7+ years of experience working within data engineering 5+ years of experience with AWS Data Bricks 5+ years of experience with Python 5+ years of experience with SQL Spark & Python scripting experience 2+ years of Tableau Experience Experience writing complex queries Telecom Experience Nice to Have Skills & Experience Experience Azure or AWS Snowflake Job Description A large telecommunications client is looking for a Senior Data Engineer/Analyst to join their team. This team currently focuses on building the data infrastructure and dashboards that enables the business to conduct their analysis. They are currently utilizing Data Bricks, Tableau, Python, Spark and SQL. This team works with large sets of data, so it is important that the candidate has worked with Teradata sets. The team is looking for an individual that can build and optimize their current data environments in order to increase efficiency of their business. Currently, data is being fed into data bricks/snowflake. This person is going to be responsible for helping to optimize what already exists in the data bricks environment and providing insight into if the current tools they are using is the best solution. You will also be writing complex queries, this team uses a mix of Spark, Scala, Python and SQL. You will also be responsible for connecting data from Data Bricks to Tableau, and creating visualizations. You will be optimizing, merging, and manipulating data in various environments. Due to the desire to optimize the business and have this person contribute to these conversations, it is important to be highly collaborative, a great communicator, and able to understand business needs.

Our client, a large entertainment studio, is looking for a skilled Data Analyst to work closely with stakeholders across Product, Engineering and Marketing to break down problems with hard data, make recommendations and communicate results clearly and concisely. This is a long-term contract that requires 5 days/week on-site in Los Angeles. Responsibilities: As a Data Analyst, work closely with stakeholders across Product, Engineering and Marketing to break down problems with hard data, make recommendations and communicate results clearly and concisely Lead transformational, high-impact data projects from ideation to implementation, ensuring alignment with strategic objectives Investigate issues that intersect revenue and technical areas by liaising with multiple teams and addressing root causes Design and automate impactful reports and dashboards, moving from data extraction and creating complex SQL queries for analysis as needed, to delivering actionable insights at scale Prototype and refine dashboards and analysis tools using data visual platforms like Looker and Tableau Demonstrate adaptability and problem-solving in ambiguous situations, providing actionable insights with support from managers and team members Required Qualifications: 5+ years' experience as a Data Analyst (preferably in tech, entertainment or finance) Tableau, Scripting, Python, ETL development experience Deep knowledge of SQL to extract and manipulate data or with other tools Experience in translating data into business recommendations and business questions into an analysis framework to executive level stakeholders Strong analytical problem-solving mindset; ability to bring structure to uncertainty Excellent written and verbal presentation skills; comfortable presenting findings to stakeholders If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits.

6 month contract to hire, candidates should be eligible to work for any employer in the United States without needing Visa sponsorship. The Data Analyst is responsible for acting as an advanced professional in the systems and process design and implementation space, focusing on low, medium, and high effort software implementation projects. The Analyst will solicit, understands, and documents the customer's business requirements, processes, and workflows developing both written and visual depictions of requirements and process flows. The Data Analyst works with developers to create the functional specifications that meet those requirements, serves as subject matter expert (SME) to the Developers building those functions, and works with the QA team to test the developed functionality. The BSA will recommend and institute business analysis best practices, tools, and methodology towards standardization of deliverables and procedures, and collaborates with Developers and QA Leads to uphold and improve SDLC processes. The Data Analyst will be onsite 2 days per week in Irvine, CA. Responsibilities Collaborates with stakeholders to gather and analyze business requirements, translating them into technical specifications for data engineering projects. Performs complex data analysis and creates insightful visualizations to uncover actionable insights that support operational and strategic decision-making. Models, cleans, and categorizes data sets for effective use in analytics applications. Identifies data-related issues, assess their severity, and evaluate their business impact to inform data quality improvement initiatives. Implements corrective measures for inaccurate data values and other issues, while addressing their underlying causes. Develops data quality guidelines and best practices for end users to reduce the likelihood of future issues. Develops and maintains documentation for data flows, data dictionaries, and business processes. Ensures data quality, consistency, and compliance with data governance policies. Assists in the evaluation and implementation of new data technologies and tools. Performs other duties and projects as assigned. Requirements: Demonstrates knowledge of, adherence to, monitoring and responsibility for compliance with state and federal regulations and laws as they pertain to this position. Demonstrates team leadership and staff development skills. Demonstrates understanding of business analysis principles, processes, and techniques. Ability to create use cases, functional, and technical requirements. Familiarity with data lakehouse concepts and technologies (e.g., Delta Lake, Snowflake). Knowledge of big data processing frameworks (e.g., Apache Spark, Apache Dataflow). Preferred knowledge of machine learning concepts and their applications in business. Preferred familiarity with data streaming technologies (e.g., Dataflow Streaming, Amazon Kinesis) Strong consultative and advisory skills. Strong understanding of data warehousing concepts and dimensional modeling. Intermediate skills in computer terminal and personal computer operation; Microsoft Office applications including but not limited to: Word, Excel, PowerPoint and Outlook. Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders Effective organizational and time management skills. Ability to make decisions that have moderate impact on the immediate work unit and cross functional departments. Ability to organize and prioritize work schedules on a short-term and long-term basis. Ability to provide consultation and expert advice to management. Ability to make informal and formal presentations, inside and outside the organization; speaking before assigned team or other groups as needed. Ability to deal with complex difficult problems involving multiple facets and variables in non-standardized situations. Ability to work with little to no supervision while performing duties. Technical Skills Required Bachelor's degree in Computer Science, Information Systems, or a related field. Minimum of five (5) + years of experience in business systems analysis or data analysis roles. Proficiency in SQL and experience with at least one programming language (e.g., Python, R, or Scala). Experience with cloud platforms (AWS, Azure, or GCP) and their data services. Experience with data visualization tools (e.g., Tableau, Power BI, or Looker). Proven experience in data quality management and improvement initiatives. Preferred certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate). Preferred experience with data governance and data quality tools. Preferred experience with version control systems (e.g., Git) and CI/CD pipelines. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job.

Must Have Technical/Functional Skills • Strong with data modeling concepts (star schemas, snowflake schemas, highly normalized data models). • Data modeling tools - Erwin. • Data Warehouse database platforms - Snowflake, BigQuery, Databricks. • Knowledge and experience of at least one data profiling tool. • Familiar with ETL tools like DataStage/Informatica. • Experience with AWS services including S3, Lambda, Data-pipeline, and other data technologies • Conceptual knowledge of BI tools like Business Objects/Tableau is a plus. • Deep understanding of principles in data warehousing and cloud architecture with principles of SQL optimization for building very efficient and scalable data systems. • Excellent SQL programming skills. • Excellent problem solving skills. • Excellent communication skills with both business and technical customers. • Demonstrate a high level of integrity and maturity. • Work on multiple projects and deliver consistently on time. • Escalate issues appropriately to management and project team. • Take a proactive approach to cross-functional communication. • Actively seek out feedback from management and peers, to improve own performance based on that feedback Roles & Responsibilities • Interacting with Business Users/ Business Relationship Managers to understand the BI and analytical needs • Identify the right data sources / data completeness to meet the BI needs. • Data profiling to build the entity relationships across multiple sources. • Develop and maintain data dictionary for all the data sources (existing and new ones). • Build conceptual and logical data models considering the BI needs. • Develop optimized database design to achieve acceptable performance by tuning views, tables for proper response time. • Work with database administrators to implement data models into database platforms, ensuring data integrity and consistency. • Monitor database performance, identify bottlenecks, and optimize data models to improve query efficiency and data access speed. • Work closely with the IT teams in ETL design discussions adopting best practices of data load strategy. • Identify effective reporting techniques, identify the best data sources for each report, identify risks and constraints, and design reporting formats. • Create and maintain metadata describing the data model, including data lineage and definitions. • Data analyst skills to determine root cause problems for data integrity and data quality issues identified through QA or by business report owners. • Define data storage strategy Generic Managerial Skills: The BI Data Modeler will collaborate with various stakeholders from Business and other partners to understand data requirements and business needs. Should be able to design solutions in the form of Conceptual and Logic data models to meet business needs. Should have an ability to optimize data models for performance, scalability and ease of use. Should have the ability to maintain accuracy, completeness and consistency of the data models with up-to-date documentation and metadata. Shoul d be an expert in various BI tools, capture analytical and reporting requirements from the Business, analyze various data sources and provides BI solutions that helps to facilitate reporting and dashboarding. Should have extensive expertise on data profiling using data profile tools and modeling tools like Erwin. Should be able to build data models by reverse engineering the database structures. Should have experience in analyzing and handling unstructured data sources. Should have an ability to communicate complex data concepts to non-technical stakeholders. Design solutions based on the data lake concepts, use of data by consumers and provide solutions weighing in pros and cons of cons ETL Vs ELT approach. Ideal candidate is a “hands-on” type problem solver who will work directly with the data engineering and business data management teams to help profile, catalog and design views and conceptual data model, catalog data sources and define data quality rules based on business use cases. Salary Range: $85,000-$120,000 a year

The Operations Data Analyst will be a key member of the operations team and will report directly to the Chief Operating Officer (COO). Acting as a data analyst, reviewing both operations and financial information, this is a unique opportunity to provide comprehensive guidance and support to decision-makers on high impact projects that optimize operational efficiency and effectiveness. Primary responsibility includes compiling, analyzing and communicating data that can be effectively translated to action for Operations leaders. ESSENTIAL FUNCTIONS: To perform this job successfully, an individual must be able to perform each essential function satisfactorily with or without accommodation. The requirements listed below are representative, but not all inclusive, of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Analyzing revenue and financial information, conducting process reviews, identifying key business drivers, and managing risk and compliance issues. Involvement in areas such as Reporting and Analytics, Strategy and Performance, Financial Performance, Performance Improvement & Benchmarking, Revenue Cycle Efficiency, Accuracy and Growth, and Payment Integrity. Working in a team environment while using independent judgment and critical thinking skills to gather data, frame situations, and provide practical solutions that add value based on organizational needs. Responsibilities will include working with senior executives on business-driven technology initiatives to deliver value across the organization, executing day-to-day operations, building and managing relationships, ensuring exceptional team performance, and producing high-quality, zero-defect deliverables that effectively align with organization priorities. On occasion, visit clinic and retail sites to validate information, review workflows and processes, and provide analysis and recommendations. Work closely on complex assignments across various areas including Reporting and Analytics Strategy, Data and Analytics, and Financial Performance. Collect, categorize, and analyze data from multiple sources with varying structures and degrees of completeness. Develop and reconcile complex reports from multiple data sources to validate accuracy and completeness. Use data analysis tools such as Power BI, Tableau, SQL Server, Superset, Alteryx, MS Access, and Excel to analyze large-scale data and derive insights. Build and maintain dashboards to display key information to high-level business stakeholders. Create and present data analysis and internal team stakeholders. Conduct analyses for large transformational technology projects across data areas such as Infrastructure, Visualization and Insights, Integrity and Governance, and Strategy and Management. Develop a point of view on the impact of respective work to address key business issues. Assess and identify business needs via standard assessment and evaluation techniques. Evaluate and validate analysis to support the development of client scope, timeline, cost, and recommendations. These individuals analyze business needs, develop operational strategies, and offer guidance and support to help operations streamline processes, improve productivity, and drive business performance. Possess a broad understanding of various aspects of operations. Provide comprehensive guidance and support in optimizing operational efficiency and effectiveness. Analyze and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with operations leadership to ensure collective ownership of quality, timelines, and deliverables. Maintains an appropriate professional appearance and demeanor in accordance with Company policies. Keeps commitments and keep direct supervisor informed of work progress, timetables, and issues. Maintains strict compliance with State, Federal and other regulations (e.g., OSHA, WC, HIPAA, ADA, FEHA, DOL, HR policies and practices). Other duties as assigned by management. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This is primarily an office classification. Temperature conditions are controlled with limited direct exposure to hazardous physical substances. The noise level in the work environment is usually low to moderate. While performing the duties of this job, the employee is regularly required to sit, stand, walk, keyboard, to finger, handle, or feel, reach with hands and arms, see, talk and hear. The employee will frequently lift and/or carry reports, records and other materials that typically weigh less than 20 pounds. The employee is occasionally required to stoop, kneel, bend, or crouch. Finger dexterity is needed to access, enter, and retrieve data using a computer keyboard, calculator, and other standard office equipment. Requirements QUALIFICATIONS: REQUIRED: Bachelor's degree in finance, Data Analytics or Business Management required. 3-5 years in prior Data Analyst positions DESIRABLE: Prior experience in the healthcare industry. KNOWLEDGE/SKILLS/ABILITIES/TALENTS: Ability to multi-task in a fast-paced environment with fluctuating priorities and deadlines. Strong organizational skills, attention to detail, ability to prioritize and meet deadlines. Analytical skills, working with large amounts of data and drawing conclusions to make recommendations based on data. Ability to clearly communicate orally or in writing findings and recommendations in an easy-to-understand way to colleagues and senior management. Ability to critically assess and evaluate data to recognize trends or anomalies. Accuracy and attention to detail not only in the data evaluated, but also in the models built to avoid any formula/structural mistakes. Detail oriented, organized, process focused, problem solver, self-motivated proactive, customer service focused. Displays independent judgment by willingness to make timely and accurate decisions based on available information that is sometimes vague or limited in nature. Ability to prioritize tasks and projects with limited direction, while understanding and contributing to the success of the organization. Ability to operate effectively in a cross functional team environment. Team player and contributor coupled with excellent communication and interpersonal skills (oral and written). Ability to respond to common inquiries from customers, staff, vendors, or other members of the business community. Must address others professionally and respectfully by actions, words and deeds. Experience working with, and presenting to, senior executives. Excellent communication and presentation skills; be comfortable interacting with executive-level management.

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place. Our client, an investment firm, is seeking an experienced Technical Data Analyst to join their team in Los Angeles, CA! Responsibilities: Lead the elicitation of technical business requirements gathering through interviews, workshops, and collaborative sessions with internal stakeholders (across front/middle/back-office) and external technology vendors. Solution design and validation while working with IT architects, developers, and third-party vendors to translate business requirements into technical specifications and ensure alignment with the firm's IT strategy. Analyze and document the integration of various enterprise systems (data warehouse, financial reporting, portfolio management systems) and provide recommendations for technical improvements. Map, review, and optimize business processes in relation to technical solutions, identifying areas for automation and efficiency. This includes recognizing patterns and conceptualizing processes. Communicate effectively with both business and technical stakeholders, ensuring clear understanding of requirements, timelines, and deliverables. Identify, create, and facilitate process design changes by conducting complex business and systems process analysis and design, focusing on quality improvement and data management to ensure data reliability and validity. Develop process improvements or re-engineering strategies, recommend eliminations where necessary, integrate new systems and processes with existing ones, and partner with internal clients and vendors to ensure systems provided align with long-term business strategies. Develop comprehensive documentation, including process flows, data models, use cases, technical requirements, and user stories, ensuring clarity for development teams and stakeholders. Collaborate closely with developers to implement the requirements, develop test plans, conduct user acceptance testing (UAT), and provide necessary guidance to testers during QA process. Stay current with needs and strategies; utilizing formal and informal written communication methods (for example, emails, PowerPoint presentations, executive updates, task lists, updates) to communicate updates and findings; and facilitating project meetings and presentations to all types of diverse audiences (for example, senior management, Customers, technical staff). Lead or participate in multiple projects by completing and updating project documentation; managing project scope; adjusting schedules when necessary; determining daily priorities; ensuring efficient and on-time delivery of project tasks and milestones; following proper escalation paths; and managing client and vendor relationships. Analyze and evaluate business requirements, consulting with personnel from various departments to identify opportunities for developing technical solutions that automate and improve business processes. Balance the requirements and needs of multiple departments/divisions to identify the best technical solutions. Participate in developing strategic plans for systems and applications. Qualifications: 6 - 10 years of experience in a technology-oriented environment; ideally in a private equity, financial services, or investment management environment (is a plus!). Experience in software development lifecycles (Agile, Waterfall), project management, and working with cross-functional teams. Proficiency in business analysis tools (e.g., JIRA, Confluence, MS Visio, Excel), database/querying tools (e.g., SQL), and PowerBi for data visualization. Strong background in technology solutions, data architecture, and systems integration, with a deep understanding of private equity operations and workflows. Strong knowledge of enterprise-level applications (e.g., CRM systems, portfolio management tools, financial reporting systems). Familiarity with cloud technologies, data warehousing, and API integration. Ability to dissect complex technical and business problems, providing detailed analyses and actionable recommendations (proactive and reactive). Must have experience working on large scale projects as well as handling and prioritizing day-to-day operational requests from various stakeholders. Strong project management, ability to successfully manage multiple tasks at any given point, strong relationship building skills & communication skills. Understanding of indices, fundamentals and analytical data, returns level data etc. Strong ability to adapt to new tools and processes as part of continuous improvement. Excellent interpersonal, written, and verbal communication skills; able to convey technical concepts to non-technical stakeholders at all levels ranging from C-level executives to operational analysts. Excellent organization and documentations skills, with the ability to design and facilitate a group process, elicit contributions, stimulate. Successful track record in understanding and negotiating needs and expectations of multiple stakeholders. Knowledge, Skills, & Abilities: Requires minimal supervision; models effective leadership skills; communicates effectively with other project team members. Demonstrate decisiveness in resolving business problems, making decisions and identifying priorities. Critical thinking and problem-solving skills. Good knowledge of Project/Program Management practices, processes, and tools. Works creatively and analytically in a problem-solving environment demonstrating teamwork & innovation. Listens intently to what other people are saying, taking time to understand the points being made, asking questions when appropriate, and allowing for professional courtesy in conversations. Builds mutual trust and encourages respect and cooperation among team members. Proven ability to demonstrate a drive for results and accountability of business needs. Proven ability to work in an ambiguous environment and collaborate across multiple areas in order to achieve a common business objective. Interpersonal skills to influence and spur change, facilitate and enhance performance within a cross - functional environment. Detail oriented with excellent follow-through skills. Ability to prioritize, plan, and organize work/deliverables. Influential, focused, and versatile team player that is comfortable under pressure. Takes steps to preserve the high confidentiality of strategic business data.

The Encounter Data Analyst I, interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, implements and maintains business solutions. Works directly with clients and project and business leaders to identify analytical requirements. This position is responsible for analyzing and correcting rejected encounters in a timely manner for Clearing House and Direct submitters. This position is accountable to ensure that encounters are corrected according to Health Plan industry standards and guidelines set by CMS and DHCS. Must be able to work fully onsite in Northridge, California. Education and / or Experience: Proficiency in Word, Excel, Access, Outlook, EZCAP and Encoder Pro. Knowledge of Claim adjudication process (Professional & Institutional) required. Knowledge in SQL Server. Previous experience in a medical group / healthcare setting. Proficiency in running data queries, analyzing and reconciling using multiple data sources. Knowledge and experience in Project Management preferred. Excellent time management skills. Outstanding communication skills. Fee schedule knowledge. Diagnosis and procedures codes knowledge preferred. Understanding of the Health Care industry, benefits, and eligibility processes preferred. Medical group or IPA operations and information systems management preferred. Ability to be a problem solver. A bachelor's degree from a four-college or appropriate industry experience and/or certification preferred. Essential Duties and Responsibilities include the following: Correct rejected encounters , follow CMS and DHCS Claims processing guidelines and industry standard in correcting rejected encounters Responsible for the entry of claims system support tables and oversight of processes to ensure our groups are meeting 5010 requirements and required to perform specialized area data entry or general data maintenance for eligibility, providers, fee sets, and benefits or any other areas that require ongoing support. Conduct Root Cause analyst for encounter errors, meet with departments to go over processes or programming to minimize root cause. Create and maintain an encounter error library. Analyze trends of rejected encounters. Develop and test internal audit/IDM reports to prevent rejected. Follow through that departments are maintaining audit reports. Create policy and procedures to correct rejected encounters. Create daily and weekly reports. Establish and maintain strong relationships with Health Plans, Encounter Clearing Houses, and internal stakeholders to fix, prevent, and to obtain extra support in resolving encounter errors. Educate internal stakeholders regarding regulator changes for encounters. Lead and attend meetings as required. Provides training to staff member in encounter corrections process. Adhere to Data integrity policies for all system configurations. Performs other duties as necessary. The pay range for this position at commencement of employment is expected to be between $28- $30 per hour; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, licensure, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. As one of the fastest growing Independent Physician Associations in Southern California, Regal Medical Group, Lakeside Community Healthcare & Affiliated Doctors of Orange County, offers a fast-paced, exciting, welcoming and supportive work environment. Opportunities abound, and enterprising, capable, focused people prosper with us. We promote teamwork, nurture learning, and encourage advancement for all of our employees. We want to see you excel, because we believe that your success is our success. Full Time Position Benefits: The success of any company depends on its employees. For us, employee satisfaction is crucial not only to the well-being of our organization, but also to the health and wellness of our members. As such, we are firmly dedicated to providing our employees the options and resources necessary for building security and maintaining a healthy balance between work and life. Our dedication to our staff is evident in our comprehensive benefits package. We offer a very generous mixture of benefits, including many employer-paid options. Health and Wellness: Employer-paid comprehensive medical, pharmacy, and dental for employees Vision insurance Zero co-payments for employed physician office visits Flexible Spending Account (FSA) Employer-Paid Life Insurance Employee Assistance Program (EAP) Behavioral Health Services Savings and Retirement: 401k Retirement Savings Plan Income Protection Insurance Other Benefits: Vacation Time Company celebrations Employee Assistance Program Employee Referral Bonus Tuition Reimbursement License Renewal CEU Cost Reimbursement Program Business-casual working environment Sick days Paid holidays Mileage Employer will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the LA City Fair Chance Initiative for Hiring Ordinance.

Who we are Geotab is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace , offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news. Who you are: We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab's organizational goals What you'll do: The Lead Data Scientist leads and contributes to medium to large projects; generally these are multi-person projects spanning cross-functional areas both within the data department and across other technical boundaries. You will work to research, experiment, develop, and bring to production data science solutions involving machine learning models, data processing pipelines, novel algorithms, and related topics in the context of fleet management and aggregated telematics solutions. You have the ability to problem solve and create technical solutions for novel business problems, working with non-technical stakeholders as needed to evaluate technical tradeoffs. This role also includes technical mentorship to other Data Scientists. How you'll make an impact: Develop and refine inference and predictive models for the Fleet Safety data product umbrella. Collaborate with cross-functional teams including product managers, data analysts, data scientists, developers, user experience analysts and external stakeholders to gather requirements, build technical consensus and drive data products to production. Support the definition and shaping of research and development initiatives in areas of subject matter expertise. Create algorithms and models required to solve complex business problems. Own the design, development, monitoring, and maintenance of scalable models. Test the performance of models/data products and make recommendations for improving Geotab's product suite. Take responsibility for the technical output of a project. Conduct experiments to identify causality for data anomalies. Stay up to date on the latest research in data science, and propose innovative ideas and techniques to advance the field in our business domain. Cross team and service boundaries to solve problems. Build relationships with stakeholders including customers, product managers, cross-functional teams, and external partners. Contribute to defining strategic direction, planning the roadmap, and synthesizing feedback to ensure team success. Ensure that knowledge is shared amongst the team and does not position themselves or others as a single point of failure; is skilled at influence without authority, to unblock technical impediments and achieve necessary technical alignments across individuals and teams with minimal escalations. Mentor multiple Data Scientists; work through others; lift the skills and expertise of those around. Advise managers with insights and recommendations to improve the technical team; participate in recruiting processes for technical team members. Own responsibility for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions. Collaborate with business stakeholders to understand their requirements and develop analytical solutions. Drive innovation and continuous improvement in data science methodologies and practices within the organization. What you'll bring to the role: Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. 10-12 years of Data Science or related experience. Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery). Experience with model experimentation, deployment, and monitoring in large-scale cloud-based production systems. Experience in working with large amounts of data in SQL. Proficient in building models using common Python libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with building, training, and deploying predictive models. Experience with AirFlow, Beam, Spark, BigQuery and other cloud based and distributed technologies to scale machine learning models and workflows will be an asset. Experience with various supervised and unsupervised machine learning methodologies in areas common to the business such as anomaly detection, time series forecasting, clustering, event prediction, and other areas. Relevant industry experience in order to reach the competencies outlined and to demonstrate varied experience in a wide range of problems, pressures, and scenarios on a consistent basis. Experience working within a technical or engineering organization; knowledge of the high-technology industry is an asset. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. Why job seekers choose Geotab Flex working arrangements Home office reimbursement program Baby bonus & parental leave top up program Online learning and networking opportunities Electric vehicle purchase incentive program Competitive medical and dental benefits Retirement savings program *The above are offered to full-time permanent employees only How we work At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at ******************. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

Marketing Science is an applied science team within The Walt Disney Studios Marketing organization. The team is interdisciplinary and cross-functional. Members of the team draw on knowledge and expertise from a wide range of academic disciplines, but primarily in areas related to applied mathematics and the social sciences, in order to advance data-driven marketing at The Walt Disney Studios. Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data science product development. Marketing Science is a part of The Walt Disney Studios Performance Marketing and is closely integrated with Performance Marketing operations. Members of the Marketing Science team generally learn about the advertising and marketing technologies that connect these operations in order to find opportunities to improve marketing effectiveness. Job Responsibilities: A person in this role is an individual contributor who is developing expertise in one or more functional area and has attained significant capabilities so as to be able to help complete tasks within those functional areas with supervision. A person in this role is expected to be developing knowledge in media, marketing, and entertainment. Using knowledge of statistics, machine learning, and AI to solve technical and research problems, including problems related to experimental and research design Developing and interpreting the results of new formal models to forecast or predict business outcomes Developing and interpreting the results of new formal models (e.g. marketing mix models, attribution models, etc.) to measure causal effects of marketing efforts or paid media Overseeing the maintenance and improvement of existing statistical and machine learning models Prototyping data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence • Formulating and solving optimization problems Coordinating work with other science and technology teams at The Walt Disney Company Applying understanding of concepts and principles of optimization to evaluate and improve media and marketing performance Formulating and solving formal optimization problems Effectively leveraging big data and cloud computing technologies to address business questions Architecting, designing, and building data science products using foundational data sets that are regularly refreshed by data engineering teams Developing and maintaining code for data science products in consultation with engineering teams Optimizing code to make data science workflows run more efficiently Consulting regularly with technology partners to ensure that proper data science tooling and platforms are available Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy in order to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems within the entertainment and media industries Leveraging business knowledge from business stakeholders to provide specifications and requirements to technology and data engineering teams for ingesting, transforming, and cleaning foundational data sets that can be leveraged downstream for building data science products Providing documentation and instruction to other scientists, engineers, or analysts about how to use data science products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-making Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data science products Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence Monitoring the health and deployment of statistical and machine learning models and optimization routines embedded in data science products Building machine learning models, statistical models, or optimization routines for the purposes of automating and scaling tasks as part of data science products Using code and data science best practices to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable ways Working directly with business stakeholders, analysts, and researchers to develop code to implement bespoke, rigorous analytic or business processes in order to systematically provide insights or recommendations in repeatable ways Coordinating work with other science and technology teams at The Walt Disney Company Basic Education Bachelor's degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience Demonstrated academic achievement in statistics and probability-typically involving graduate-level coursework in relevant areas including (but are not limited to) statistics, data science, applied mathematics, operations research, engineering, and computer science Basic Qualifications 3+ years of experience Desire to learn about media and marketing • Desire to learn about the entertainment / media industries Some business acumen in addition to strong technical skills Proven creative problem-solving, decision-making and critical thinking skills Demonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment Demonstrated strong written and verbal communication skills Ability to work independently as well as across teams in a diverse, international, collaborative environment Proven ability to organize, prioritize, and balance concurrent projects and sustainment activities Demonstrated experience with acquiring, organizing, cleansing, manipulating, and merging large volumes of data Demonstrated experience with performing exploratory quantitative analysis Demonstrated experience with fitting, evaluating, and interpreting relevant statistical or machine learning models Proficiency with Python Demonstrated experience with SQL Familiarity with big data technologies for data science-particularly Spark • Familiarity with Tableau or other data visualization tool Familiarity with cloud computing services • Familiarity with CI/CD and GitLab or GitHub Desire to learn about the martech and adtech ecosystem Preferred Qualifications Graduate degree (Master's or Doctorate)-with significant graduate-level academic exposure to formal or quantitative methods with 1+ years of experience Preferred Qualifications Proficiency with SQL Demonstrated experience with Tableau or other data visualization tool Demonstrated experience using big data technologies for data science-particularly Spark • Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data The hiring range for this position in Burbank, CA is $114,900.00 to $154,100.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: DEMRKTG Job Posting Primary Business: Studio Marketing - Media Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-03-11

Salary Range: $8,840.09 - $11,912.82 monthly The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS). The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery. The unit also ensures data integrity, security, and regulatory compliance. The Data Scientist is responsible for conducting advanced data analysis, developing predictive models, and generating actionable insights to support strategic decision-making. This role involves working on complex analytical projects, optimizing data pipelines, and contributing to both machine learning and statistical modeling efforts. The Data Scientist collaborates with stakeholders to understand business challenges and ensure data-driven solutions align with program objectives and organizational goals. ESSENTIAL FUNCTIONS Collaborates with division, department, and countywide stakeholders to solicit, define, and manage data science projects from conception through implementation, including identifying and developing statements of business problems; conducting exploratory data analysis and data mining; developing model specification requirements; and conducting advanced statistical analyses. Independently conducts advanced analytical studies for the resolution of business problems and transfigures data into critical information by selecting and deploying appropriate advanced statistical techniques such as machine learning, bivariate and multivariate analyses, predictive/prescriptive analytics, and optimization. Works with departmental stakeholders to document business requirements and helps frame business problems so that appropriate corresponding data science techniques can be identified and applied. Develops and presents visualizations of findings and recommendations that can be used to support business decisions and allocate resources. Contributes to advanced analytic products (e.g., Recommender Engines, Auto Classification algorithms, Predictive Scoring, geo-spatial clustering, NLP classifier, etc.) and helps place them in production. Recommends ongoing improvements to methods and algorithms that lead to findings, including new information. Provides business metrics for departmental projects to show improvements both initially and over multiple iterations. Provides ongoing tracking and monitoring of performance of decision systems and statistical models and troubleshoots and implements enhancements and fixes to systems as needed. Works with functional teams to develop and implement products, services, and tools, such as dashboards and reports, emerging from the analysis. Conveys findings and conclusions of work orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effectively with a wide range of audiences, including technical and nontechnical staff, and stakeholders. JOB QUALIFICATIONS The ideal candidate possesses strong analytical and problem-solving abilities, enabling them to extract insights from complex datasets and drive data-driven decision-making. They should have excellent communication skills to collaborate effectively with both technical and non-technical stakeholders. A solid understanding of machine learning, statistical modeling, and data governance best practices is essential. Additionally, candidates should be adaptable and proactive in exploring new methodologies to drive continuous improvement and ensure alignment with organizational priorities. Education/Experience Bachelor's or Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in data science, advanced analytics, or a similar role. Experience with statistical modeling, machine learning, and predictive analytics. Certificates/Licenses/Clearances Successful clearing through the Live Scan and health clearance processes with the County of Los Angeles. Other Skills, Knowledge, and Abilities Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, Azure, GCP). Understanding of data pipeline development and ETL processes. Strong analytical and problem-solving skills. Ability to communicate technical findings to non-technical stakeholders. Ability to work in a fast-paced, collaborative environment. Passion for learning and professional growth. Agile methodologies PHYSICAL DEMANDS Stand: Not applicable Walk: Not applicable Sit: Frequently Handling / Fingering: Constantly Reach Outward: Constantly Reach Above Shoulder: Not applicable Climb, Crawl, Kneel, Bend: Not applicable Lift / Carry: Occasionally - Not applicable Push/Pull: Occasionally - Not applicable See: Constantly Taste/ Smell: Not Applicable Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs/day) Frequently = (2 - 5 hrs/day) Constantly = (5+ hrs/day) WORK ENVIRONMENT Hybrid EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

Your work will change lives. Including your own. The Impact You'll Make With treatments for hundreds of diseases in our sights, we've built a data science team with domain expertise in computer science, bioinformatics, physics, biology, mathematics, applied statistics, and more. We work side-by-side with biologists, automation scientists, chemists, software engineers, and many others; together, we develop the tools and methods to turn our experimental data into treatments for pathologies that affect the lives of countless individuals. As a data scientist supporting the development of our scaled transcriptomics capabilities, you'll be designing, building, testing and deploying both development and production NGS analysis workflows. In this role, you will leverage this data as you: Develop methods, metrics, benchmarks, models and workflows to help drive drug discovery in a standardized way Build scalable production bioinformatics workflows to support our NGS assays Create and analyze enormous sets of connected data for a variety of programs to learn how best to advance drug discovery in an industrialized way Collaborate with engineering teams to mature your models and analyses and put them into productionized flows Deliver quickly and iteratively, both supporting in-flight programs and building improvements for the long-term Learn to leverage new code packages and data science techniques as needed The Team You'll Join You will be joining a platform development and workflows team that specializes in development of scaled transcriptomics at Recursion as part of our Operating Systems Hub. This data science team is part of a larger cross-functional team that includes biologists, automation engineers, and software engineers collaborating to industrialize our largest transcriptomics platform at Recursion. We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the “why” of what we are trying to deliver and are resilient if the “how” of what we are doing needs to change. The Experience You'll Need 3+ years of experience building bioinformatics workflows for next-generation sequencing (NGS) analysis, preferably in an industry setting. Experience analyzing NGS data to develop, optimize, or support an NGS assay Experience building and maintaining scaled production analysis workflows, bioinformatics workflows a plus Experience with professional software development using best practices including version control (e.g. git) and code review High fluency in Python and data science libraries Experience creating effective visualizations in Python RNAseq bioinformatics experience a plus Working Location & Compensation: This position is based at our headquarters in Salt Lake City, Utah, or at one of our offices in Toronto or London. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is: $181,000 to $215,000 USD $215,000 to $242,000 CAD You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Recursion welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

It takes a Blizzard to make a Blizzard game, and that level of effort doesn't end once the game is released; we support our games for years after they're in the hands of gamers world-wide. Global Insights works closely with the game development, business, and internal service teams at Blizzard to produce insights and models that enable us to make the most epic player experiences. The AI&ML(machine learning) team within Global Insights focuses on applying the latest in key research areas to build lasting data products and tools for our game development and business teams. We are looking for a Data Scientist who has experience in reinforcement learning to join our AI&ML team. Blizzard data scientists design and deploy data-powered products and services that scale to the terabytes of data that Blizzard games generate every day. The ideal candidate is passionate about applying machine learning, specifically reinforcement learning, to gameplay AI and has experience developing and deploying the solutions to real-world problems. Responsibilities * Research and develop state-of-the-art machine learning solutions for reinforcement learning based gameplay AI to enhance game development and gameplay objectives. * Work closely with machine learning engineers and software engineers to deploy, automate, and maintain models seamlessly on production systems. * Communicate about machine learning models and products to both technical and non-technical audiences. Minimum Qualifications * Master's or PhD in computer science and machine learning related field with a specialization in single-agent and multi-agent RL in games or robotics. * Hands-on applied or research experience with one or more of the following: reinforcement learning, imitation learning, optimization, supervised/unsupervised learning, etc. * Proficient in Python and experienced in at least one other higher-level programming language like Java, C++, C#, Scala, etc. Preferred Qualifications * Experience with game engines like Unreal or Unity. * Experience with cloud computing services like Google Cloud, AWS (Amazon Web Service), or Azure. * Experience applying reinforcement learning to a real-time application or environment. * Experience working with headless cloud computing resources in a parallelized compute environment. * A track record of original contributions to research communities of ML, AI, and reinforcement learning. * Practical experience with Tensorflow, Pytorch or Keras. The Global Insights team prides in its dedication to fostering a healthy work-life balance, promoting mentorship at every level, and prioritizing mental and physical wellbeing. We offer a robust mentorship program for career development and provides opportunities to build rapport among team members. We are committed to providing growth opportunities for team members to look forward to. Blizzard Entertainment is a global company committed to growing our employees along with the business. We offer generous benefits and perks with an eye on providing true work / life balance. We've worked hard to foster an intensely collaborative and creative environment, a diverse and inclusive employee culture, and training and opportunity for professional growth. Our people are everything. Our core values are real, and our mission has never changed. We are dedicated to creating the most epic entertainment experiences…ever. Join us! We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: * Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; * 401(k) with Company match, tuition reimbursement, charitable donation matching; * Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; * Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; * If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $77,500.00 - $143,376.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

Who You'll Work With Global Services is comprised of collaborative, inclusive, cross-functional teams that work together to support our corporate functions. We push the boundaries of what's possible and deliver solutions that accelerate innovation at a global scale. Our teams include Information Technology, Legal, Information Security & Governance, Marketing, Operations, Finance & Accounting, People, and our Executive Office. The Talent & People Experience Team is dedicated to identifying and nurturing a remarkable group of bright, passionate, and experienced consultants who are self-motivated lifelong learners with a strong interest in technology and social learning. Our core values-creativity, innovation, collaboration, customer service, and flexibility-guide our efforts to attract, develop, and retain top talent. We aim to enhance employee experiences and drive organizational success without adding complexity. The ideal candidate will thrive in a start-up environment, where they will play a key role in defining and implementing new talent management processes, programs, and solutions. They will also excel in collaborating with internal clients to support their needs and foster a dynamic, supportive workplace. What You'll Do * Lead advanced data-driven initiatives within the Talent & People Experience team, driving improvements across hiring, staffing, and workforce planning. * Elevate Slalom's people capabilities through optimizing staffing processes, understanding attrition and retention drivers, identifying and rewarding top performers, and designing personalized professional development journeys. * Conduct ad-hoc analyses on key workforce metrics (e.g., relationship between team tenure and engagement) while also managing longer-term projects such as predicting future client demand and recommending workforce strategies. * Collaborate with executives and key stakeholders to transform business questions into impactful data insights and products that inform strategic decisions. * Leverage modern cloud-based data platforms, predictive analytics, and data visualization tools to deliver high-impact insights that drive people-focused outcomes across Slalom. * Partner with data scientists, analysts, architects, and engineers in a collaborative environment to enhance organizational excellence. * Contribute to the evolution of Slalom's customized data science tools, integrating AI technologies to optimize and scale analytical processes. * Create and maintain data visualizations and client ready dashboards to effectively communicate findings. What You'll Bring * Advanced proficiency in Python, including expertise in data science (e.g., Pandas, Polars, NumPy, SciPy), data visualization (e.g., Matplotlib, Seaborn, Plotly), and reporting automation (e.g., xlwings, python-pptx) packages. * Experience with cloud platforms (e.g., AWS) and modern data science tools (e.g., SageMaker, ClearML, Lightning.ai). * Proven success in a diverse range of data science initiatives including ad-hoc analyses, rapid prototyping, predictive modeling, and full-scale model development, testing, and deployment. * Strong ability to transform data into strategic insights and communicate effectively to both technical and executive audiences. * Ability to translate complex, ambiguous problems into actionable insights-asking the right questions, diving into the details, and bringing clarity through data. * Baseline proficiency in SQL for data retrieval, joining, aggregation, and filtering. * Experience with software engineering best practices, such as Git for collaboration and version control. * Familiarity with modern AI tools and large language models (LLMs) for accelerating data analysis and project delivery. * Dashboarding experience with tools like Power BI or Tableau, and familiarity with Snowflake is desirable. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $120,000 to $150,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

The Operations Data Analyst will be a key member of the operations team and will report directly to the Chief Operating Officer (COO). Acting as a data analyst, reviewing both operations and financial information, this is a unique opportunity to provide comprehensive guidance and support to decision-makers on high impact projects that optimize operational efficiency and effectiveness. Primary responsibility includes compiling, analyzing and communicating data that can be effectively translated to action for Operations leaders. ESSENTIAL FUNCTIONS: To perform this job successfully, an individual must be able to perform each essential function satisfactorily with or without accommodation. The requirements listed below are representative, but not all inclusive, of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Analyzing revenue and financial information, conducting process reviews, identifying key business drivers, and managing risk and compliance issues. Involvement in areas such as Reporting and Analytics, Strategy and Performance, Financial Performance, Performance Improvement & Benchmarking, Revenue Cycle Efficiency, Accuracy and Growth, and Payment Integrity. Working in a team environment while using independent judgment and critical thinking skills to gather data, frame situations, and provide practical solutions that add value based on organizational needs. Responsibilities will include working with senior executives on business-driven technology initiatives to deliver value across the organization, executing day-to-day operations, building and managing relationships, ensuring exceptional team performance, and producing high-quality, zero-defect deliverables that effectively align with organization priorities. On occasion, visit clinic and retail sites to validate information, review workflows and processes, and provide analysis and recommendations. Work closely on complex assignments across various areas including Reporting and Analytics Strategy, Data and Analytics, and Financial Performance. Collect, categorize, and analyze data from multiple sources with varying structures and degrees of completeness. Develop and reconcile complex reports from multiple data sources to validate accuracy and completeness. Use data analysis tools such as Power BI, Tableau, SQL Server, Superset, Alteryx, MS Access, and Excel to analyze large-scale data and derive insights. Build and maintain dashboards to display key information to high-level business stakeholders. Create and present data analysis and internal team stakeholders. Conduct analyses for large transformational technology projects across data areas such as Infrastructure, Visualization and Insights, Integrity and Governance, and Strategy and Management. Develop a point of view on the impact of respective work to address key business issues. Assess and identify business needs via standard assessment and evaluation techniques. Evaluate and validate analysis to support the development of client scope, timeline, cost, and recommendations. These individuals analyze business needs, develop operational strategies, and offer guidance and support to help operations streamline processes, improve productivity, and drive business performance. Possess a broad understanding of various aspects of operations. Provide comprehensive guidance and support in optimizing operational efficiency and effectiveness. Analyze and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with operations leadership to ensure collective ownership of quality, timelines, and deliverables. Maintains an appropriate professional appearance and demeanor in accordance with Company policies. Keeps commitments and keep direct supervisor informed of work progress, timetables, and issues. Maintains strict compliance with State, Federal and other regulations (e.g., OSHA, WC, HIPAA, ADA, FEHA, DOL, HR policies and practices). Other duties as assigned by management. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This is primarily an office classification. Temperature conditions are controlled with limited direct exposure to hazardous physical substances. The noise level in the work environment is usually low to moderate. While performing the duties of this job, the employee is regularly required to sit, stand, walk, keyboard, to finger, handle, or feel, reach with hands and arms, see, talk and hear. The employee will frequently lift and/or carry reports, records and other materials that typically weigh less than 20 pounds. The employee is occasionally required to stoop, kneel, bend, or crouch. Finger dexterity is needed to access, enter, and retrieve data using a computer keyboard, calculator, and other standard office equipment. Requirements QUALIFICATIONS: REQUIRED: Bachelor's degree in finance, Data Analytics or Business Management required. 3-5 years in prior Data Analyst positions DESIRABLE: Prior experience in the healthcare industry. KNOWLEDGE/SKILLS/ABILITIES/TALENTS: Ability to multi-task in a fast-paced environment with fluctuating priorities and deadlines. Strong organizational skills, attention to detail, ability to prioritize and meet deadlines. Analytical skills, working with large amounts of data and drawing conclusions to make recommendations based on data. Ability to clearly communicate orally or in writing findings and recommendations in an easy-to-understand way to colleagues and senior management. Ability to critically assess and evaluate data to recognize trends or anomalies. Accuracy and attention to detail not only in the data evaluated, but also in the models built to avoid any formula/structural mistakes. Detail oriented, organized, process focused, problem solver, self-motivated proactive, customer service focused. Displays independent judgment by willingness to make timely and accurate decisions based on available information that is sometimes vague or limited in nature. Ability to prioritize tasks and projects with limited direction, while understanding and contributing to the success of the organization. Ability to operate effectively in a cross functional team environment. Team player and contributor coupled with excellent communication and interpersonal skills (oral and written). Ability to respond to common inquiries from customers, staff, vendors, or other members of the business community. Must address others professionally and respectfully by actions, words and deeds. Experience working with, and presenting to, senior executives. Excellent communication and presentation skills; be comfortable interacting with executive-level management.

Who we are Geotab is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace , offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news. Who you are: We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist, Generative AI who will Design and develop generative AI models using advanced machine learning and deep learning techniques. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader - we would love to hear from you! What you'll do: As a Senior Data Scientist, Generative AI your key area of responsibility will be to implement advanced data science solutions that drive innovation and efficiency within the telematics industry. The Senior Data Scientist is accountable for designing and running experiments to enhance Gen AI applications, researching and developing new algorithms tailored to telematics data and evaluating and optimizing data models for improved performance. Key responsibilities include leveraging advanced Gen AI techniques, collaborating with cross-functional teams to apply Gen AI to the development of new products and services in addition to continuously improving model performance through systematic testing and refinement. The Senior Data Scientist is expected to stay at the forefront of Gen AI research to continue to introduce cutting edge solutions to Geotab clients. You will need to work closely with with software developers, AI engineers, and stakeholders to integrate generative AI solutions into telematics platforms. To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results. How you'll make an impact Research, develop, and implement novel Generative AI solutions tailored to telematics applications. Design and develop generative AI models using advanced machine learning and deep learning techniques. Implement LLM-powered solutions, employing techniques like prompt engineering and Retrieval Augmented Generation (RAG)-based systems. Analyze experimental results to evaluate the effectiveness and accuracy of Generative AI algorithms. Build evaluation systems to assess model output quality and product experience objectively. Design architectures that meet product requirements, balancing considerations such as AI safety and latency. Work with software developers, AI engineers, and stakeholders to integrate generative AI solutions into telematics platforms. Provide project leadership as a subject matter expert (SME), guiding team members and participating in cross-departmental projects. Mentor team members on best practices for AI product development. Generate detailed reports and presentations to communicate the impact and value of generative AI solutions to stakeholders. Stay updated on industry trends and advancements in generative AI and prompt engineering, integrating best practices into development cycles. Engage with the AI research community, applying the latest findings and technologies to AI initiatives. Implement new statistical or mathematical methodologies for data analysis models. Develop algorithms and predictive models to solve complex business problems. Conduct causality experiments using A/B tests or epidemiological approaches to identify root issues. Extract value from big data infrastructure (e.g., Google BigQuery) through complex queries and analyses. Collaborate with cross-functional teams to seamlessly integrate AI technologies into platforms, ensuring personalized user experiences. Maintain comprehensive documentation of research, methodologies, model design, and experimental results. What you'll bring to the role 5-8 years in Data Scientist or similar role. Writing SQL queries, programming in Python, and building production machine learning models.Experience with transformer models such as BERT and GPT, and pre-LLM NLP models like word2vec or GloVe. Masters in Data Science, Mathematics, Computer Science, Statistics, or related field. Experience with OpenAI's and VertexAI frameworks and APIs Experience in data augmentation techniques to enhance model training and performance. Proven experience in developing and deploying generative AI projects in real-world applications, including fine-tuning and distilling models. Expertise in prompt engineering closed-source models (e.g., GPT) or open-source models (e.g., Mixtral) for specific application needs. Proficiency in model deployment and cloud services (e.g., GCP, Azure, AWS) for scalable solutions. Knowledge of data management, including building datasets and evaluating model performance. Familiarity with advanced AI frameworks and libraries such as PyTorch, TensorFlow, and Langchain. Solid understanding of machine learning principles, statistical analysis, and predictive modeling. Ability to ensure ethical considerations in Generative AI, including data privacy, bias detection, and model explainability. Strong project management skills, capable of leading projects from conception to completion. Excellent communication skills for effective collaboration across teams and with external partners. High attention to detail and analytical skills, with the ability to make well-judged decisions. Strong team-player with the ability to engage effectively at all organizational levels. Business acumen to align technical initiatives with strategic business objectives. Adaptive mindset to stay current with evolving technologies and market demands. Entrepreneurial mindset and comfort in a flat organizational structure. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. Why job seekers choose Geotab Flex working arrangements Home office reimbursement program Baby bonus & parental leave top up program Online learning and networking opportunities Electric vehicle purchase incentive program Competitive medical and dental benefits Retirement savings program *The above are offered to full-time permanent employees only How we work At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at ******************. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.