Data Scientist Jobs in East Hemet, 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.

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.

“I can succeed as a Data Scientist at Capital Group.” As a Data Scientist, you will lead projects which leverage data science techniques to mine and interpret data to solve strategic, tactical, structured, and unstructured business problems that are posed to them. You will be responsible to interpret and communicate analytic results to analytical and non-analytical business partners and senior managers. These applications are aimed at organizing information, engaging and guiding clients, delivering personalized investment content and products, predicting client's next best action, and determining where and when to target clients “I am the person Capital Group is looking for.” MS in (PhD preferred) Computer Science, Artificial Intelligence, Machine Learning, or related technical field. You will build the capability to study and analyze structured and unstructured data, data from multiple internal and external sources to enable pattern seeking and analysis. You are proficient at translating unstructured business problems into math framework in scientific way, and able to articulate the logic. Expertise in predictive analytics/statistical modeling/data mining algorithms Analyzes patterns from thousands of behavioral characteristics of financial advisors and investors, market news and economic data, to personalize investment outcomes. You are well versed in at least one statistical analysis tool. You have knowledge of distributed databases and have experience with SQL or related query languages. You have demonstrated agility in providing value gained through data science from large and complex datasets. You have experience in one or more of the following toolsets: Databricks and AWS Sagemaker, You have an ability to provide data analysis and visualization solutions using cutting edge tools, algorithms, frameworks and languages like PythonTensorflow/PyTorch, Plotly Dash, Streamlit, Power BI. Experience with Deep Learning models, Generative AI and Optimization algorithms. Southern California Base Salary Range: $121,652-$194,643 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. * Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

divp style="text-align:left"span Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters. /span/pp style="text-align:inherit"/ph3/h3h2The Position/h2pspanThe Data Analytics and Engineering team at GenMark is driving the evolution of our analytics strategy, leveraging advanced machine learning to push beyond descriptive and diagnostic insights into predictive and cognitive analytics. As a Data Scientist on our team, you'll apply data science, machine learning, and image analysis to manufacturing and quality control challenges in medical device production. You'll work closely with domain experts to integrate diverse data sources, develop analytical solutions, and generate insights that enhance product performance and reliability. Your work will contribute to highlighting opportunities for product improvements that create real value for our customers. /span/pp/ppspan In addition to these responsibilities, you will be responsible for developing and maintaining data products and algorithms critical for ongoing projects within the Operations and Ramp;D departments, ensuring that the solutions you create are aligned with our goals for continuous innovation and improvement. /span/pp/ppspan In this role, you will rapidly prototype, validate, and deploy machine learning and analytical models while implementing automation for continuous data processing and on-demand analysis. Your expertise in data science, image processing, and machine learning will enhance our data capabilities, ensuring timely and accurate insights. You bring a strong foundation in object-oriented programming and software engineering best practices, allowing you to tackle complex challenges with strategic, scalable solutions. Beyond technical skills, your ability to communicate across disciplines and translate complex findings into actionable insights will be key to driving impact. By immersing yourself in GenMark's cutting-edge technology, you'll contribute to our digital transformation and play a critical role in delivering groundbreaking innovations. /span/pp/ppspan This position is located in Carlsbad, on-site or hybrid. /span/ppbr/ /ppbb The Opportunity/b/b/ppspan As a Data Scientist, you will provide analytical and programming expertise to develop machine learning models and data-driven solutions for manufacturing and quality control in medical device production. You will design and implement analytical applications that integrate diverse data sources, enabling insights to enhance product performance and reliability. Your work will contribute to advancing GenMark's data analytics strategy, ensuring that data science and machine learning techniques are effectively applied across various aspects of the manufacturing process and product analytics. /span/pp/ppbb Who you are/b/b/pullipspan BS 8+ years experience in data science and machine learning. Preferred: MS 6+ years, PhD 2+ years. /span/p/lilipspan College/University degree in Computer Engineering, Computer Science, Statistics, Mathematics, Data Science, Bioengineering, or a related field. /span/p/lilipspan Experience in the biotech industry is preferred, with experience in manufacturing being a plus. /span/p/lilipspan Strong communication skills with the ability to convey complex concepts to non-technical stakeholders. /span/p/lilipspan Aligns with our culture and the standards that guide our daily behavior and decisions: Integrity, Courage, and Passion. /span/p/lilipspan Demonstrates experience or adaptability to modern working methods consistent with an agile and growth mindset, including agile behaviors and methodologies. /span/p/li/ulp/ppbspan Programming amp; Tools:/span/b/pullipspan Expertise in Python is essential; proficiency in R, C, C#, Java is a plus. /span/p/lilipspan Skilled in writing reusable functions and packages. /span/p/lilipspan Experience with data access (e. g. , SQL) and automation/deployment of analysis tools. /span/p/lilipspan Familiarity with advanced data visualization libraries (e. g. , Plotly, Matplotlib, Seaborn, Plotnine). /span/p/lilipspan Experience with machine learning frameworks (e. g. , TensorFlow, PyTorch, Scikit-learn, Keras). /span/p/lilipspan Strong understanding of code documentation, testing, modern version control systems, and software development techniques. /span/p/lilipspan Familiarity with AI/GenAI/LLM/ML terminologies, capabilities, and applications to drive efficiencies and insights. /span/p/li/ulp/ppbspan Scientific amp; Engineering Knowledge:/span/b/pullipspan Excellent problem-solving skills and attention to detail. /span/p/lilipspan Strong understanding of applied statistics, image processing, and signal processing. /span/p/lilipspan Ability to manipulate, transform, and analyze various data types, including heterogeneous data structures. /span/p/lilipspan Knowledge of molecular techniques (e. g. , nucleic acid extraction, PCR, immunoassays). /span/p/li/ulp/ppbspan Collaboration amp; Problem Solving:/span/b/pullipspan Motivated to create solutions in healthcare to improve patient outcomes and clinician experiences. /span/p/lilipspan Ability to both guide and accept guidance from team members. /span/p/lilipspan Demonstrated success in technical proficiency, scientific creativity, and productive collaboration. /span/p/li/ulpbr/ /ppspan Relocation benefits are not available for this posting/span/pp/ppspan The expected salary range for this position based on the primary location of California is $110,600 - $205,400 annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. /span/ppa href="************** ehr. com/default. ashx?CLASSNAME=splash" target="_blank"uBenefits/u/a/pp/pp/ph2Who we are/h2p style="text-align:left"span GenMark is now a proud member of the Roche Group, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. As a global leader in healthcare, Roche Diagnostics offers a broad portfolio of products, tools and services that help in the prevention, diagnosis and management of diseases like HPV, HIV, hepatitis and diabetes as well as other medical conditions, such as fertility and blood coagulation. With the addition of GenMark to the Roche Group, syndromic infectious disease diagnostics is now added to the long list of disease states and conditions that the Roche Group addresses. GenMark's ePlex true sample-to-answer system offers unique solutions to address the most significant challenges facing clinical laboratories, while supporting hospital systems to deliver patient-centered, value-based care. ePlex streamlines the diagnostic workflow from physician order entry to the final test report and is the true sample-to-answer solution designed to improve patient care, reduce costs, and increase lab efficiency. GenMark is headquartered in Carlsbad, California. /span/pp style="text-align:inherit"/pp style="text-align:left"span GenMark is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. /span/p/div

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.

FASHIONPHILE is more than just fashion - we're revolutionizing the ultra-luxury fashion experience in order to create a sustainable alternative that extends the life cycle of products and makes them more accessible to a diverse customer base. As we strive to become the world's most sought-after brand in luxury re-commerce, we know it's our team members who make it all happen! We value diversity in our people, perspectives, and products. For us, it's the only way to cultivate the creativity and innovation essential to achieving our mission and supporting our customers. We do this both in-person and through our digital omni-channel experiences. If you're someone who embraces change, is authentic, and wants to make an impact this is the place for you. About the Opportunity: FASHIONPHILE is seeking an exceptional Data Scientist to leverage both structured and unstructured data to address key business challenges. In this strategic role, you will partner with Merchandising Planning and Sales teams to resolve issues related to omni-channel inventory planning and demand forecasting for retail commerce. You'll employ advanced statistical and advanced forecasting techniques to support short- and long-term inventory planning, optimize forecast accuracy, and provide strategic recommendations to senior management. Additionally, you will investigate sales trends, develop processes to understand customer journeys, and build models to enhance customer engagement, retention, and growth. Responsibilities include: * Build and maintain advanced statistical, predictive and machine learning models to forecast luxury product demand at the SKU level across various channels and enhance business performance. * Analyze forecast accuracy metrics, refine models through feature engineering and selection, and adjust based on feedback from sales, marketing, and management. * Develop and implement a comprehensive demand forecast process integrated into the Sales and Operations Planning (S&OP) cycle. * Investigate worldwide sales trends and opportunities to offer strategic recommendations on current and future demand. * Develop data-driven inventory planning strategies that balance meeting customer demand with minimizing carrying costs. * Analyze current inventory levels against predicted demand to ensure optimal product availability across channels. * Implement algorithms to determine optimal buying/selling points, safety stock levels, and mitigate stockout risks using historical sales, customer journeys, lead times, and demand variability. * Extract, clean, and transform large datasets from sources such as sales, customer behavior, marketing campaigns, and external market trends to solve complex business problems. * Automate dashboards and reports to visualize key performance indicators (KPIs) and trends related to demand forecasting and inventory management, and other topics. * Communicate complex findings using effective data visualization techniques to support strategic decision-making by senior management. * Own transformation initiatives that focus on growth and influence teams and stakeholders to arrive at the right solutions for the business. What We're Looking For: * Bachelor's Degree in Math, Data Science, Statistics, or another analytical discipline (or equivalent experience) * 6+ years' in-depth experience in predictive analytics, building ML models and solving business problems using data insights; a focus on omnichannel forecasting models and inventory planning is a plus. * Working knowledge of forecasting models and inventory optimization * Proficiency in Python or R, SQL, and VBA, with strong data manipulation and analysis skills (e.g., using Pandas, NumPy, Scikit-learn). * Familiarity with forecasting/modeling techniques (Bayesian statistics, regression, customer lifecycle value, A/B testing). * Experience with time series forecasting methods (e.g., ARIMA, Exponential Smoothing, Prophet) and machine learning algorithms (e.g., Regression, Random Forest, Neural Networks) is a plus. * Knowledge of cloud-based data platforms (AWS, Azure, GCP), data warehousing tools, and visualization/BI tools (e.g., Qlik Sense, Tableau). * A good understanding of retail e-commerce & omni- channel operations, inventory management and demand forecasting. What We Offer: * Medical, Dental and Vision Coverage * FSA options for Medical, Dependent Care & Commuter Benefits * Paid Time off, Paid Sick Time, and Paid Holidays * 401(k) with generous match program * Free Life Insurance and AD&D * Long Term Disability Insurance * Employee Discount Work Location: This role offers a hybrid work schedule, with a requirement to be onsite 2 days per week in either Carlsbad, CA or our Downtown Los Angeles location. Compensation: * FASHIONPHILE reasonably expects the range to be $135,000.00 - $155,00.00 for this position and offers an Annual Bonus Opportunity. Offered compensation will vary based on (a) location; (b) individual candidate qualifications; and (c) individual candidate experience. This post may be updated as new market data becomes available and is accurate as of the date of this posting. FASHIONPHILE reserves the right to modify this information at any time, subject to applicable law.

NXP Semiconductors Sales seeks an experienced and results-oriented Data Scientist to contribute to our AI-driven initiative, providing comprehensive Customer 360 insights to our Sales team. This role centers on developing and deploying AI/ML models and Generative AI Retrieval Augmented Generation (RAG) solutions, synthesizing information from diverse internal and external sources to empower our sales force. Experience with AWS AI/Generative AI tools as well as Salesforce Einstein is highly desired. This role requires a strong understanding of Generative AI and ML implementations for various sales scenarios, proficient programming skills, and excellent English communication. Semiconductor industry and Sales experience are highly valued. Responsibilities: * Collaborate with cross-functional teams (executives, sales, marketing, and Salesforce) to translate business needs into actionable data science solutions. * Conduct exploratory data analysis (EDA) on complex data sources, including internal systems (e.g., Sales Order, Revenue Forecasts, Design Win Opportunities) and external sources (e.g., company websites, trade news, SEC Edgar filings). * Design and develop machine learning models to predict customer behavior, identify sales opportunities, and generate actionable insights. * Develop data pipelines and ETL processes for ingesting, cleaning, and transforming disparate data sources to build RAG instances and train ML models. * Implement and support Generative AI prompt user interfaces, providing training and enablement to users. * Deploy and maintain production-ready machine learning models, ideally leveraging AWS or Salesforce environments. * Create visualizations and reports to effectively communicate insights and findings to stakeholders. * Maintain awareness of advancements in AI, particularly within the Generative AI domain. * Collaborate with the Salesforce team, the CDO (Chief Data Office), and IT data scientists and engineers to enhance AI capabilities. Qualifications: * Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related quantitative or business field. * Three or more years of demonstrated experience as a Data Scientist, with a proven track record of successful project implementations. * Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. * Proven ability to implement and optimize Generative AI solutions, including experience leveraging company internal and external data within Retrieval Augmented Generation (RAG) databases. * Proficiency in Python and R, coupled with experience using machine learning libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch. * Expertise in data engineering, and working with large, complex datasets comprising structured, unstructured, and external web data. Databricks experience is a plus. * Proficiency with AWS cloud computing platforms. * Demonstrated data visualization skills using tools such as Tableau or Power BI. * Experience with Salesforce (including Einstein and Data Cloud) and ModelN is highly desirable. * Experience within the semiconductor or high-tech industry, particularly in Sales, Marketing, or Supply Chain, is a strong plus. #LI-FCC3 More information about NXP in Mexico... #LI-fcc3

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 Location: This position is based at our headquarters in Salt Lake City, or at one of our offices in Toronto or London. 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 How You'll be Supported Onboarding support from a teammate acting as your “trail guide” for the first several weeks to aid in getting up to speed with Recursion systems and infrastructure Receive real-time cross-functional feedback from your team including code review, weekly manager 1:1s, and cross-functional team meetings Opportunity to attend annual conferences aligned with existing expertise and career development goals #LI-EP1 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: Developing: $181,000 USD / $215,000 CAD Skilled: $192,000 USD / $226,000 CAD Expert: $206,000 USD / $242,000 CAD To learn more about our level within levels, click here. You will also be eligible for bonuses and equity compensation + our comprehensive benefits package for United States based candidates. The range displayed on each job posting reflects target ranges for new hire salaries and is determined by job, level, and market factors. During the interview selection process, you will connect with a Talent Acquisition Partner who will be your advocate and ally to ensure you receive the appropriate compensation that meets your needs for your skills, experience, and relevant education/training, while also reviewing our very competitive total rewards package. #LI-EP1 The Values That 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. Recursion spends time and energy connecting every aspect of work to these values. They aren't static but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. You can read more about our values and how we live them every day here. 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.

How will you make an impact? We are seeking a Senior GTS Data Analyst to lead data-driven initiatives, leveraging statistical modeling, machine learning, and AI to drive strategic business insights. This role involves working collaboratively with cross-functional teams, translating complex data into actionable recommendations, and fostering a data-driven culture within the organization. Here at Glaukos, you will: Work in an innovative, data-driven environment within a high-impact industry. Lead transformational projects leveraging AI, ML, and advanced analytics. Collaborate with top-tier professionals in a fast-paced, evolving field. What will you do? Data Analysis & Modeling: Develop and implement advanced statistical models and machine learning algorithms to solve business challenges. Conduct exploratory data analysis (EDA) to uncover trends and insights. Ensure high-quality data is accessible and optimized for analysis. Project Leadership: Lead end-to-end data science projects, from problem definition to model deployment and ongoing monitoring. Define project objectives, timelines, and deliverables in collaboration with stakeholders. Collaboration & Communication: Partner with business units to understand challenges and provide data-driven solutions. Present complex findings to non-technical stakeholders via reports, visualizations, and workshops. Advocate for a data-centric decision-making culture across the organization. Continuous Improvement & Innovation: Stay current with emerging trends, algorithms, and best practices in AI, ML, and data analytics. Enhance existing models and processes through experimentation and innovation. Recommend new tools and technologies to optimize data capabilities. Documentation & Compliance: Maintain thorough documentation of models, methodologies, and analyses. Ensure adherence to data privacy, security, GxP, and SOX compliance requirements. How will you get here? Required Qualifications Bachelor's Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 5+ years of industry experience in data analytics, machine learning, or AI-driven solutions. Proficiency in Python or R and experience with data manipulation libraries (Pandas, NumPy). Strong knowledge of machine learning frameworks (e.g., Scikit-learn, TensorFlow, Keras). Excellent problem-solving skills and an analytical mindset. Ability to translate complex data concepts for a non-technical audience. Preferred Skills Experience with big data technologies & cloud platforms (Google Data Analytics, BigQuery). Familiarity with data visualization tools (Tableau, Power BI, Looker). Knowledge of GxP and SOX Compliance (preferred). Previous experience in Life Sciences, Pharma, or Biotech (a plus). #GKOSUS

How will you make an impact? We are seeking a Senior GTS Data Analyst to lead data-driven initiatives, leveraging statistical modeling, machine learning, and AI to drive strategic business insights. This role involves working collaboratively with cross-functional teams, translating complex data into actionable recommendations, and fostering a data-driven culture within the organization. Here at Glaukos, you will: * Work in an innovative, data-driven environment within a high-impact industry. * Lead transformational projects leveraging AI, ML, and advanced analytics. * Collaborate with top-tier professionals in a fast-paced, evolving field. What will you do? Data Analysis & Modeling: * Develop and implement advanced statistical models and machine learning algorithms to solve business challenges. * Conduct exploratory data analysis (EDA) to uncover trends and insights. * Ensure high-quality data is accessible and optimized for analysis. Project Leadership: * Lead end-to-end data science projects, from problem definition to model deployment and ongoing monitoring. * Define project objectives, timelines, and deliverables in collaboration with stakeholders. Collaboration & Communication: * Partner with business units to understand challenges and provide data-driven solutions. * Present complex findings to non-technical stakeholders via reports, visualizations, and workshops. * Advocate for a data-centric decision-making culture across the organization. Continuous Improvement & Innovation: * Stay current with emerging trends, algorithms, and best practices in AI, ML, and data analytics. * Enhance existing models and processes through experimentation and innovation. * Recommend new tools and technologies to optimize data capabilities. Documentation & Compliance: * Maintain thorough documentation of models, methodologies, and analyses. * Ensure adherence to data privacy, security, GxP, and SOX compliance requirements. How will you get here? Required Qualifications * Bachelor's Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. * 5+ years of industry experience in data analytics, machine learning, or AI-driven solutions. * Proficiency in Python or R and experience with data manipulation libraries (Pandas, NumPy). * Strong knowledge of machine learning frameworks (e.g., Scikit-learn, TensorFlow, Keras). * Excellent problem-solving skills and an analytical mindset. * Ability to translate complex data concepts for a non-technical audience. Preferred Skills * Experience with big data technologies & cloud platforms (Google Data Analytics, BigQuery). * Familiarity with data visualization tools (Tableau, Power BI, Looker). * Knowledge of GxP and SOX Compliance (preferred). * Previous experience in Life Sciences, Pharma, or Biotech (a plus). #GKOSUS

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.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Rivian is seeking a Senior Data Scientist to drive advanced analytics within the Sales organization. The successful candidate will translate business needs into analytical questions, conduct data exploration, and perform rigorous analysis of sales and sales programs. This role also involves designing and analyzing commission-based compensation models for sales agents, as well as building models and simulations to inform decisions on processes and measure program effectiveness. Responsibilities Consult with internal stakeholders to determine the best application of descriptive and statistical analysis to support Rivian's sales objectives. Analyze sales performance metrics, market trends, and sales strategies to support sales organization initiatives. Collaborate closely with sales leadership, HR, finance, and other stakeholders to understand sales strategies, gather input, and ensure incentive plans align with overall business objectives. Regularly evaluate the effectiveness of compensation plans by monitoring sales performance, identifying areas for improvement, and proposing adjustments to drive desired behaviors and results. Understand process flows, analyze data, perform Design of Experiments, develop simulation models, and represent findings to enhance the efficacy of sales programs and measure their incremental impact. Apply linear models, AI/machine learning algorithms, time series forecasting, and simulation models to develop targeted sales initiatives. Partner with the Demand Planning team to develop bottom-up forecast models for the Sales team that complement top-down forecasts. Provide insights and data-driven recommendations to increase gross orders, reduce cancellations, improve targeting, enhance sales velocity, and improve the customer experience. Continuously enhance models to ensure ongoing alignment with business objectives. Examine key business data by identifying, cleaning, and providing analysis and insights. Validate data integrity and create new data where none currently exists. Generate insights and present findings to senior management using data visualization and presentation tools to make business recommendations. Streamline information accessibility and data normalization through lean and continuous improvement methodologies. Key collaboration partners include Inside Sales and Field Sales teams, Marketing, Product Management, Communications, IT, Finance, Treasury, Digital Technology, business line managers (e.g., Insurance, Financing), Customer Service, and Commercial Operations. Qualifications Bachelor's degree in Statistics, Data Science, or a related field. 4+ years of experience applying advanced statistical techniques and concepts, including regression, decision trees, ensemble models, time series forecasting, linear programming, and optimization. Proficiency in programming languages such as Python, R, or Java. Skilled in SQL and data visualization tools like Tableau. Familiarity with AWS, Databricks, or other cloud databases is preferred. Strong understanding of sales compensation, incentives, territory planning, and experience generating reports from Salesforce (Sales and Service Cloud) Contacts, Leads, and Opportunities. Excellent communication skills, with the ability to engage with senior finance leaders and build relationships with internal stakeholders. Strong organizational skills, with the ability to prioritize tasks and maintain a sense of urgency. Ability to quickly understand and map systems, processes, and operations. Experience in dynamic, agile environments, with a proven ability to manage multiple projects and communicate effectively across functions. A continuous improvement mindset, with the ability to suggest and implement best practices. Ability to thrive in a rapidly evolving, fast-paced start-up environment. Pay Disclosure Salary Range for Palo Alto, CA and Blauvelt, NY Based Applicants: $146,900-183,600 (actual compensation will be determined based on experience, location, and other factors permitted by law). Salary Range for Irvine, CA and Seattle, WA Based Applicants: $135,100-168,900 (actual compensation will be determined based on experience, location, and other factors permitted by law). Salary Range for Atlanta, GA, Plymouth, MI, and Normal, IL Applicants: Based Applicants: $123,400-154,200 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Bachelor's degree in Statistics, Data Science, or a related field. 4+ years of experience applying advanced statistical techniques and concepts, including regression, decision trees, ensemble models, time series forecasting, linear programming, and optimization. Proficiency in programming languages such as Python, R, or Java. Skilled in SQL and data visualization tools like Tableau. Familiarity with AWS, Databricks, or other cloud databases is preferred. Strong understanding of sales compensation, incentives, territory planning, and experience generating reports from Salesforce (Sales and Service Cloud) Contacts, Leads, and Opportunities. Excellent communication skills, with the ability to engage with senior finance leaders and build relationships with internal stakeholders. Strong organizational skills, with the ability to prioritize tasks and maintain a sense of urgency. Ability to quickly understand and map systems, processes, and operations. Experience in dynamic, agile environments, with a proven ability to manage multiple projects and communicate effectively across functions. A continuous improvement mindset, with the ability to suggest and implement best practices. Ability to thrive in a rapidly evolving, fast-paced start-up environment. Consult with internal stakeholders to determine the best application of descriptive and statistical analysis to support Rivian's sales objectives. Analyze sales performance metrics, market trends, and sales strategies to support sales organization initiatives. Collaborate closely with sales leadership, HR, finance, and other stakeholders to understand sales strategies, gather input, and ensure incentive plans align with overall business objectives. Regularly evaluate the effectiveness of compensation plans by monitoring sales performance, identifying areas for improvement, and proposing adjustments to drive desired behaviors and results. Understand process flows, analyze data, perform Design of Experiments, develop simulation models, and represent findings to enhance the efficacy of sales programs and measure their incremental impact. Apply linear models, AI/machine learning algorithms, time series forecasting, and simulation models to develop targeted sales initiatives. Partner with the Demand Planning team to develop bottom-up forecast models for the Sales team that complement top-down forecasts. Provide insights and data-driven recommendations to increase gross orders, reduce cancellations, improve targeting, enhance sales velocity, and improve the customer experience. Continuously enhance models to ensure ongoing alignment with business objectives. Examine key business data by identifying, cleaning, and providing analysis and insights. Validate data integrity and create new data where none currently exists. Generate insights and present findings to senior management using data visualization and presentation tools to make business recommendations. Streamline information accessibility and data normalization through lean and continuous improvement methodologies. Key collaboration partners include Inside Sales and Field Sales teams, Marketing, Product Management, Communications, IT, Finance, Treasury, Digital Technology, business line managers (e.g., Insurance, Financing), Customer Service, and Commercial Operations.

We are looking for a dynamic Data Scientist Intern with a specialized focus on gut health modeling through microbiomics data. In this role, you will be responsible for developing, monitoring, maintaining, and optimizing data models and analysis pipelines that specifically address gut health research. You will leverage your expertise in bioscience, mathematics, and computing to build robust models and execution environments - toward deciphering the complexities of gut microbiota and their influence on human health. This internship offers an exciting opportunity to work on a cutting-edge platform that connects millions of microbiome samples and to directly contribute to advancing our understanding of gut health. Learn more about our Paid Internship here. Essential Duties and Responsibilities: Design, develop, and implement predictive models specifically tailored to capture gut health outcomes from microbiomics data. Analyze gut microbiome datasets to derive actionable insights on gut health and related biological processes. Conduct feature engineering and data preprocessing to enhance model performance on gut microbiome datasets. Train, validate, and fine-tune machine learning models using appropriate performance metrics relevant to gut health research. Collaborate with bioinformaticians and subject matter experts to translate biological insights into robust, data-driven models. Integrate newly developed models into existing analysis pipelines to enable real-time insights into gut health. Document modeling methodologies, code, and experimental results to ensure reproducibility and continuous improvement. Evaluate model performance, troubleshoot issues, and iteratively refine model design to enhance accuracy and reliability. Collaborate with bioinformaticians to troubleshoot and refine pipeline execution failures, ensuring reliable modeling of gut health data. Contribute to the enhancement of existing models and the development of new modeling pipelines that target gut health research. Required Skills and Qualifications: Proficiency in Python and R, with strong experience in data manipulation and model development using libraries such as pandas, NumPy, and scikit-learn. Demonstrated expertise in designing, developing, and validating predictive models, especially within a biological or gut health context. Experience with Linux/Unix operating systems and command line troubleshooting for model deployment and maintenance. Familiarity with version control systems like git/GitHub to ensure collaborative and reproducible model development. Strong analytical skills with a deep understanding of feature engineering, model selection, and performance evaluation. A keen interest in gut health and applying microbiomics data to create robust, data-driven models that capture complex biological phenomena. Preferred Skills: Hands-on experience with advanced machine learning frameworks such as TensorFlow or PyTorch for developing deep learning models. Familiarity with cloud computing platforms (e.g., AWS, GCP, or Azure) for scalable model training and deployment. Experience with containerization technologies like Docker to streamline model integration and delivery. Prior exposure to microbiome research or bioinformatics, particularly with a focus on gut health, to effectively translate biological insights into predictive modeling. Education and Experience: Currently pursuing or recently completed a BS, MS, or PhD in Computer Science, Data Science, Bioinformatics, Computational Biology, or a related field-with coursework or research focused on predictive modeling and machine learning. Relevant coursework should include machine learning, predictive analytics, data modeling, computational statistics, and advanced data analysis, ideally applied to biological or gut microbiomics data. Hands-on experience through internships, research projects, or personal initiatives in developing and deploying predictive models-especially in the context of gut health-is highly desirable. About Us: Since its inception in 1994, Zymo Research has been proudly serving the scientific community by providing innovative, reliable, and high-quality research tools and products. Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy remains the same: To provide the highest quality products in the industry while ensuring they are both simple to use and reliable in their performance. Recognized as a Top Workplace by the Orange County Register in 2021, 2022, and named a Top Workplace USA in 2023, Zymo Research continues to be a vibrant community where employees thrive, feel connected, and are inspired by their work. If you are passionate about contributing to scientific advancement and want to be part of an exceptional team in a dynamic, growing company, we'd love to hear from you! Compensation: The estimated base compensation range for this position is $20/hour at the time of posting. Actual compensation details will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. Equal Employment Opportunity Employer: Zymo Research welcomes candidates of all backgrounds. These include sex, age, color, race, religion, marital status, national origin, ancestry, sexual orientation, gender, gender identity, gender expression, physical & mental disability, medical condition, genetic information, military and veteran status, or any other protected status as defined by federal, state, or local law. Location: Onsite - Zymo Research 17171 Murphy Ave. Irvine, CA 92614

The Senior Data Engineer will be responsible for delivering senior level innovative and compelling software solutions for our consumer, internal operations, and value chain constituents across a wide variety of enterprise applications. The job duties and requirements are defined for backend. Provides technical leadership and mentorship to junior team members. Responsibilities: * Designs, develops, and delivers solutions that meet business line and enterprise requirements. * Creates data and reporting infrastructure by building and optimizing production-grade data pipelines using continuous integration/ continuous deployment. * Participates in rapid prototyping and POC development efforts. * Understand business and technical requirements and constraints to design effective data engineering solutions. * Assists in efforts to develop and refine functional and non-functional requirements. * Champion engineering excellence, including software design patterns, code reviews and automated unit/functional testing. * Create conceptual architectures and detailed designs for data engineering solutions. * Contributes to overall enterprise technical architecture and implementation best practices. * Participates in iteration and release planning. * Performs other duties and projects as assigned. Requirements: * Bachelor's Degree required, and a minimum of four (5)+ related work experience. * Required Technical Skills: * Design and implementation of data lake, data warehouse and data mart. * Web API, REST, GraphQL, XML/JSON. * ETL/ELT, and one of data engineering languages (Python/Java/Scala). * ADF, ADLS, Airflow, DBT and any of cloud-native data warehouse (Snowflake, Databricks, BigQuery). * Strong SQL experience, with expert-level skills in query performance tuning and data modeling. * Designs enterprise database systems using Microsoft SQL Server. * Has working knowledge of GIT. Develops branching and merging strategies. * Ability to design, develop, and maintain scalable, reusable code. * Estimates tasks with a level of granularity and accuracy commensurate with information provided to ensure expectations of delivery are reasonable. * Excels in a rapid iteration environment with short turnaround times. * Knowledge of cubes and SSAS is a plus. * Knowledge of SSRS, Power BI, and Tableau a plus. Why work for #teamloan Depot: * Competitive compensation package based on experience, skillset and overall fit for #TeamloanDepot. * Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive * Work with other passionate, purposeful, and customer-centric people * Extensive internal growth and professional development opportunities including tuition reimbursement * Comprehensive benefits package including Medical/Dental/Vision * Wellness program to support both mental and physical health * Generous paid time off for both exempt and non-exempt positions About loan Depot: loan Depot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loan Depot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, as the nation's second largest non-bank retail mortgage lender, loan Depot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loan Depot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts. Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this roles is between $140,000 and $180,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location. We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are looking for an experienced Staff Data Engineer to lead the development of our high-performance data pipelines and scalable APIs using Databricks and Rust. As a key technical leader, you will design, implement, and optimize data infrastructure, ensuring efficient data processing and real-time analytics capabilities. This role requires deep expertise in big data frameworks, distributed systems, and backend engineering, as well as a strong ability to mentor engineers and drive architectural decisions. Essential Duties and Responsibilities * Design and Develop Data Pipelines: Design, build, and maintain scalable, high-performance data pipelines and ETL processes on Databricks/Microsoft Azure to acquire, ingest, process, and transform data from various sources into structured, usable formats. * Azure Data Platform Expertise: Leverage your in-depth knowledge of Microsoft Azure services such as Azure Databricks, Azure Storage, and Azure SQL Database to architect and optimize data solutions. * Architect and develop large-scale data pipelines in Databricks, leveraging Apache Spark (PySpark/Scala) for batch and streaming workloads. * Design, implement, and optimize high-performance Rust APIs to support data access, ingestion, and real-time processing. * Lead the development of scalable data infrastructure, ensuring reliability, security, and cost efficiency. * Integrate Databricks with cloud data lakes (Azure Data Lake, AWS S3, or GCP BigQuery) and relational/NoSQL databases such as MongoDB & Postgres. * Data Governance and Security: Implement data governance best practices and ensure data security, compliance and privacy measures are in place to protect sensitive data. * Optimize Spark jobs for efficiency and cost-effectiveness, implementing best practices for distributed computing. * Define and enforce data governance, quality, and security standards, including access control, encryption, and compliance. * Develop event-driven and real-time data processing pipelines using Kafka, Pulsar, or similar messaging systems. * Drive the adoption of best practices for Rust-based backend services, ensuring robust API security, logging, and monitoring. * Mentor and coach junior and mid-level engineers, providing guidance on system design, performance tuning, and scalable architecture. * Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to enable seamless data-driven decision-making. * Lead and participate in technical discussions, driving architecture decisions and improving engineering standards. * Documentation and Training: Create technical documentation, best practices, and guidelines for data engineering processes, as well as provide training to team members. * Research and Innovation: Stay updated with the latest trends, tools, and technologies in the data engineering field and identify opportunities for innovation and continuous improvement.

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is seeking a Senior Data Engineer to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games. The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with other Data Engineers, Machine Learning Engineers, and Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders. This is a full-time, in-office position based out of Rockstar's new state-of-the-art game development studio in Carlsbad, CA. WHAT WE DO The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. RESPONSIBILITIES Implement and maintain real-time and batch Data Models. Play a key role in designing and optimizing the overall data architecture, ensuring scalability, reliability, and performance. Deliver real-time and non-real-time data models to Analysts and Data Scientists who create insights and applications for our stakeholders. Assist in the development of deployment automation and operational support strategies. Assist in the development of a big data platform in Databricks using pipeline technologies such as Spark, Airflow, and more to support a variety of requirements and applications. Set the standards for warehouse and schema design in massively parallel processing engines such as Databricks (Spark) and Snowflake while collaborating with Analysts and Data Scientists in the creation of efficient data models. Identify opportunities for process improvement and best practices in data engineering and contribute to the development and implementation of new methodologies. Maintain and extend our CI/CD processes and documentation. Provide technical guidance and leadership to the Data Engineering team, including mentoring junior Engineers. QUALIFICATIONS 6+ years of work experience with designing and development of modern data pipelines within a major cloud platform (GCP, AWS, Azure). 4+ years of experience with Python (or a comparable scripting language). 4+ years of experience with Spark. 2+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management. Expert in at least one SQL language. Experience developing and managing data warehouses on a terabyte or petabyte scale. Strong experience in massively parallel processing. Experience building Real-Time and/or Near-Real-Time data pipelines. Good Understanding of Big Data and cloud architecture. SKILLS Deep understanding of advanced data warehousing concepts and track record of applying these concepts on the job. Ability to manage numerous projects concurrently and strategically, prioritizing when necessary. Good communication skills. Dynamic team player. A passion for technology. PLUSES Please note that these are desirable skills and are not required to apply for the position. Experience with Databricks. Experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components. Deployment/scaling of apps on containerized environment (i.e., Kubernetes, AKS). Experience with Java or Scala. Experience with Jupyter Notebooks. Experience in Lambda data ingestion architecture. Experience with CI/CD. Familiar with Restful APIs. Experience with Artifact Repositories. Knowledge of the video game industry. Experience in Machine Learning pipelines and popular libraries. HOW TO APPLY Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is proud to be an equal opportunity employer, and we are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities. If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, or race. The pay range for this position in San Diego at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. 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 or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors. *San Diego Base Pay Range$121,400—$161,800 USD

How will you make an impact? We are seeking a Senior GTS Data Analyst to lead data-driven initiatives, leveraging statistical modeling, machine learning, and AI to drive strategic business insights. This role involves working collaboratively with cross-functional teams, translating complex data into actionable recommendations, and fostering a data-driven culture within the organization. Here at Glaukos, you will: Work in an innovative, data-driven environment within a high-impact industry. Lead transformational projects leveraging AI, ML, and advanced analytics. Collaborate with top-tier professionals in a fast-paced, evolving field. What will you do? Data Analysis & Modeling: Develop and implement advanced statistical models and machine learning algorithms to solve business challenges. Conduct exploratory data analysis (EDA) to uncover trends and insights. Ensure high-quality data is accessible and optimized for analysis. Project Leadership: Lead end-to-end data science projects, from problem definition to model deployment and ongoing monitoring. Define project objectives, timelines, and deliverables in collaboration with stakeholders. Collaboration & Communication: Partner with business units to understand challenges and provide data-driven solutions. Present complex findings to non-technical stakeholders via reports, visualizations, and workshops. Advocate for a data-centric decision-making culture across the organization. Continuous Improvement & Innovation: Stay current with emerging trends, algorithms, and best practices in AI, ML, and data analytics. Enhance existing models and processes through experimentation and innovation. Recommend new tools and technologies to optimize data capabilities. Documentation & Compliance: Maintain thorough documentation of models, methodologies, and analyses. Ensure adherence to data privacy, security, GxP, and SOX compliance requirements. How will you get here? Required Qualifications Bachelor's Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 5+ years of industry experience in data analytics, machine learning, or AI-driven solutions. Proficiency in Python or R and experience with data manipulation libraries (Pandas, NumPy). Strong knowledge of machine learning frameworks (e.g., Scikit-learn, TensorFlow, Keras). Excellent problem-solving skills and an analytical mindset. Ability to translate complex data concepts for a non-technical audience. Preferred Skills Experience with big data technologies & cloud platforms (Google Data Analytics, BigQuery). Familiarity with data visualization tools (Tableau, Power BI, Looker). Knowledge of GxP and SOX Compliance (preferred). Previous experience in Life Sciences, Pharma, or Biotech (a plus). #GKOSUS

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 machine learning & AI group within Global Insights focuses on applying the latest in key research areas to build lasting data products and tools for our game and business teams. We are looking for a Data Scientist who specializes in machine learning (ML) application in computer graphics to join our Global Insights team. Blizzard data scientists design and deploy data-powered products and services that serve the business and development of Blizzard games every day. The ideal candidate is passionate about the latest innovations in ML and AI; has expertise in designing deep learning system in computer graphics domain; with strong programming skill to help deploy and maintain them. Responsibilities * Research and develop state-of-the-art machine learning solutions for computer graphic problems to enhance game development and gameplay objectives. * Work closely with software engineers and tech artists 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 * Has 2+ years' work experience with Master or PhD in ML and computer graphics * Hands-on experience with one or more of the following: deep learning on 3D representations, generative models such as diffusion models and generative adversarial network (GAN), and deep learning for character animation * Hands-on applied or research experience developing machine learning models on large image/3D model data sets * Proficient in Python and experienced in at least one other higher-level programming languages like Java, C++, C#, etc. * Practical experience with deep learning libraries/frameworks like Tensorflow, Pytorch, Keras, or JAX Preferred Qualifications * Experience with 3D graphics programs like 3ds Max, Maya, Blender, or Houdini * Experience with game engines like Unreal or Unity * Experience with procedural content generation for video games * Experience with cloud computing services like Google Cloud, AWS (Amazon Web Service), or Azure * Experience with real-time computer graphics libraries like OpenGL, DirectX, or Vulkan * A track record of original contributions to research communities of ML and computer graphics Required Application Materials * Resume 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. Your Platform Best known for iconic video game universes including Warcraft, Overwatch, Diablo, and StarCraft, Blizzard Entertainment, Inc. (****************** a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences. Blizzard Entertainment has created some of the industry's most critically acclaimed and genre-defining games over the last 30 years, with a track record that includes multiple Game of the Year awards. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net, Xbox, PlayStation, Nintendo Switch, iOS, and Android. Our World Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty, World of Warcraft, Overwatch, Diablo, Candy Crush and Bubble Witch. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet! Our ability to build immersive and innovative worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. 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 $92,920.00 - $171,814.00 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.