Data Scientist Jobs in Hamilton, OH

Job Type: Fulltime Experience: 10+years As an Advanced Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization. You will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset. Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques. 4+ years of professional Data Development experience. 4+ years of experience with SQL and NoSQL technologies. 3+ years of experience building and maintaining data pipelines and workflows. 5+ years of experience developing with Java. 2+ years of experience developing with Python. 3+ years of experience developing Kafka solutions. 2+ years of experience in feature engineering for machine learning pipelines. Experience with GCP services such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow. Experience with CI/CD pipelines and processes. Experience with automated unit, integration, and performance testing. Experience with version control software such as Git. Full understanding of ETL and Data Warehousing concepts. Strong understanding of Agile principles (Scrum). Additional Qualifications Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies). Experience with GitHub SaaS/GitHub Actions. Experience understanding Databricks concepts. Experience with PySpark and Spark development. Roles & Responsibilities: Provide Technical Leadership: Offer technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges. Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets. Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms. Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries. Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards. Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments. Mentor Team Members: Mentor team members in data principles, patterns, processes, and practices to promote best practices and improve team capabilities. Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements. Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions Support flows for an ML platform in GCP and needs to be able to work with data science and understand the ML concepts in terms of requirements to be met by the data. #LI-RJ2 Salary Range - $93,700-$135,000 a year

Commercial Pricing Actuary Join a growing company! A P&C insurer is seeking their next Commercial Pricing Actuary. This position is responsible for providing support to Commercial Operations in California, giving pricing recommendations, and preparing rate filing support. (#56823) Requirements: Bachelor's Degree. ACAS or FCAS designation. 7+ years of actuarial experience. Knowledge of California commercial lines. Strong commercial pricing experience. Excellent communication, interpersonal and organizational skills Compensation: A salary range of $150 - $230K. Location: Fairfield, OH - Hybrid Cincinnati, OH - Hybrid

Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $99,336.00 - $132,500.00 Security Clearance: Secret Level of Experience: Mid This opportunity resides with Warfare Systems (WS), a business group within HII's Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems. HII works within our nation's intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: *************************** Job Description HII-Mission Technologies is currently seeking a skilled Data Scientist/Engineer to design, develop, and implement a data base architecture, tools, and techniques for management and use of extremely large data sets for use by data analyst for our DoD customer's organization. This position will be performed at the DoD customer site at Wright-Patterson Air Force Base. Essential Job Responsibilities + Investigate, determine, and implement suitable open-source tools for storage, managing, and use of extremely large data sets. + Investigate, determine, and implement tools and methodologies for extracting key data points for analysis by data analyst. + Conducts data exploration, analysis, and feature extraction techniques to incorporate into DoD customer's organization data pipelines and workflows. + Be part of a team responsible for creating, maintaining, and augmenting an on-premises compute environment + Translating requirements into capabilities for technical teams + Present status reports to key internal stakeholders + Evaluate new tools, technologies, and processes to improve on-premises environment + Gain familiarity of customer mission to identify and/or develop data management and workflow solutions. + Proposes solutions and strategies to unique challenges throughout the DoD customer's organization. + Linux system configuration and capacity planning for large scale data analytics on-premises and cloud. + Additional duties as assigned or required. Minimum Qualifications + 5 years relevant experience with Bachelor in related field; 3 years relevant experience with Masters in related field. + Experience with defining requirements for using and maintaining open-source data analytics, data workflow, and database tools. + Develop, implement, and maintain data analytic protocols, standards, and documentation. + Design data models based on requirements/needs for complex analysis of data analyst + Define requirements for vendors to implement into their proposed solutions to meet DoD customer's organization needs and use cases. + Experience working with multiple types of datasets and database technologies + Experience building data pipelines from end to end + Experience with multiple industry standard cloud and on-premise database technologies + Experience with data exploration, analysis, and visualization tools such as Python and Matlab + Experience and familiarity with Linux operating environment + Experience with open-source containerization technologies and tools and how to utilize those technologies as appropriately for database technologies and analytics + Define internal process improvements to automate repetitive tasks to minimize downtime between analysis + Clearance: Secret clearance to start. Must be able to obtain and maintain a TS/SCI security clearance with enhanced security checks. Physical Requirements May require working in an office, industrial, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Together we are working to ensure a future where everyone can be free and thrive. Today's challenges are bigger than ever, and the nation needs the best of us. It's why we're focused on hiring, developing and nurturing our diversity. We believe that diversity among our workforce strengthens the organization, stimulates creativity, promotes the exchange of ideas and enriches the work lives of all our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to ************************** and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call ************** for assistance. Press #3 for HII Mission Technologies.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: ***********************************

This position sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment. The Opportunity As a Data Scientist, you will work with your manager and Lead Data Scientist to expand the analytics capabilities of the company through identifying business trends and problems with complex big data analysis. You will interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Design, develop and implement best-in-class analytics that create quantifiable value for our organization and our clients. Prepare big data, implement data models, and develop databases to support the business solutions. Responsibilities What You'll Be Doing Use data analysis combined with economic and business knowledge to make recommendations on the business direction to various stakeholders within the Define and develop analytical, statistical and machine learning algorithms for advanced analysis and prediction Work with programming languages (such as Python, Ruby, Java) and other technologies to do rapid design, prototyping, analysis, simulation of, and experimentation with, advanced algorithms and applications. Build scalable predictive models based on data sets Help to identify exceptions and outliers to ConstructConnect generated datasets Acquire and ingest data from a variety of sources to extend our products and solutions (innovate) Provide estimates of level of work effort and time for completion Participate in scrum ceremonies This job description in no way implies that the duties listed here are the only ones that team members can be required to perform Qualifications What You Bring to the Team Bachelor's Degree in Statistics, Mathematics, Economics, Econometrics, Computer Science or related quantitative discipline with experience is required Familiarity with R, Python, SAS (or equivalent) programming languages Familiarity with SQL or another database language Strong algorithmic development skills Understanding of applied mathematics, statistics, and economics Experience with a range of data science techniques including clustering, machine learning, and network analysis Creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results. Enthusiastic about learning new techniques and Strong communication skills and experience distilling and presenting complex quantitative analysis into action-oriented Thrives in a fast paced, changing environment Physical Demands and Work Environment: The physical activities of this position include frequent sitting, telephone communication, and working on a computer for extended periods of time. Visual acuity is required to perform activities close to the eyes. This position is considered Hybrid. Team members are expected to have an established workspace. Ability to work in the Greater Cincinnati/Northern Kentucky area. E-Verify Statement ConstructConnect utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for ConstructConnect is eligible to work in the United States. To learn more about E-Verify you can call ************** or visit their website. E-Verify is a registered trademark of the United States Department of Homeland Security. Privacy Notice

Company: HII's Mission Technologies division Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $99,336.00 - $132,500.00 Security Clearance: Secret Level of Experience: Mid This opportunity resides with Warfare Systems (WS), a business group within HII's Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems. HII works within our nation's intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: *************************** Job Description HII-Mission Technologies is currently seeking a skilled Data Scientist/Engineer to design, develop, and implement a data base architecture, tools, and techniques for management and use of extremely large data sets for use by data analyst for our DoD customer's organization. This position will be performed at the DoD customer site at Wright-Patterson Air Force Base. Essential Job Responsibilities * Investigate, determine, and implement suitable open-source tools for storage, managing, and use of extremely large data sets. * Investigate, determine, and implement tools and methodologies for extracting key data points for analysis by data analyst. * Conducts data exploration, analysis, and feature extraction techniques to incorporate into DoD customer's organization data pipelines and workflows. * Be part of a team responsible for creating, maintaining, and augmenting an on-premises compute environment * Translating requirements into capabilities for technical teams * Present status reports to key internal stakeholders * Evaluate new tools, technologies, and processes to improve on-premises environment * Gain familiarity of customer mission to identify and/or develop data management and workflow solutions. * Proposes solutions and strategies to unique challenges throughout the DoD customer's organization. * Linux system configuration and capacity planning for large scale data analytics on-premises and cloud. * Additional duties as assigned or required. Minimum Qualifications * 5 years relevant experience with Bachelor in related field; 3 years relevant experience with Masters in related field. * Experience with defining requirements for using and maintaining open-source data analytics, data workflow, and database tools. * Develop, implement, and maintain data analytic protocols, standards, and documentation. * Design data models based on requirements/needs for complex analysis of data analyst * Define requirements for vendors to implement into their proposed solutions to meet DoD customer's organization needs and use cases. * Experience working with multiple types of datasets and database technologies * Experience building data pipelines from end to end * Experience with multiple industry standard cloud and on-premise database technologies * Experience with data exploration, analysis, and visualization tools such as Python and Matlab * Experience and familiarity with Linux operating environment * Experience with open-source containerization technologies and tools and how to utilize those technologies as appropriately for database technologies and analytics * Define internal process improvements to automate repetitive tasks to minimize downtime between analysis * Clearance: Secret clearance to start. Must be able to obtain and maintain a TS/SCI security clearance with enhanced security checks. Physical Requirements May require working in an office, industrial, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Together we are working to ensure a future where everyone can be free and thrive. Today's challenges are bigger than ever, and the nation needs the best of us. It's why we're focused on hiring, developing and nurturing our diversity. We believe that diversity among our workforce strengthens the organization, stimulates creativity, promotes the exchange of ideas and enriches the work lives of all our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to ************************** and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call ************** for assistance. Press #3 for HII Mission Technologies.

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

Title: Data Scientist/Business Analyst Clearance: DoD Secret Eligibility About this Role / Program: Rackner is seeking a Data Scientist/Business Analyst to join our team to support the AFWERX Technical Operations Branch. AFWERX is the innovation arm of the Department of the Air Force (DAF) and accelerates agile and affordable capability transitions by teaming innovative technology developers with Airman and Guardian talent. AFWERX supports both internal and external (federal and industry partners) users across multiple CONUS locations through client hardware support (NIPR, DREN) and cloud-based (e.g. IaaS, PaaS, SaaS) applications. Additionally, the AFWERX Technical Operations Branch provides Risk Management Framework (RMF) and cybersecurity support to the different AFWERX divisions (i.e. AFVentures, Spark, Prime), including Flight Test Program Management (FTPM) support to both manned and unmanned flight tests. The ideal candidate will have the knowledge and ability to perform tasks related to the technical/professional discipline they are performing. Requirements: Bachelor's degree in a related field 6+ years; relevant experience Flexibility to work in fast-paced environments and adapt to changing priorities and have strong time management skills working under tight deadlines. Ability to work autonomously in a highly dispersed remote organization. Travel is required and expected based on needed support. What will make you successful: Gather and analyze requirements through working with various stakeholders to understand their needs and translate them into clear and concise requirements for IT projects and initiatives by conducting interviews, workshops, and surveys to gather information and document processes. Analyze existing workflows and identify and document areas for improvement and optimization by streamlining processes, automating tasks, and suggesting and implementing new technologies to enhance efficiency and effectiveness. Assist project managers in planning, executing, and monitoring IT projects by developing project plans, tracking progress, managing risks, and communicating with stakeholders. Collect and analyze data to identify trends, patterns, and insights that can inform decision-making by creating reports, dashboards, and visualizations to communicate findings to leadership and other stakeholders. Research and evaluate emerging technologies to determine their potential value and applicability to the mission by attending and/or participating in industry events, reading research papers, and conducting pilot projects. Who We Are: Rackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing consultancy with a passion for solving big problems for both startups and enterprises. We enable digital transformation for large organizations through the newest in distributed technologies as we are laser focused on end-to-end application development, DevSecOps, AI/ML and systems architecture and our methodology focuses on cloud-first and cost-effective innovation. Our customers hail from a diverse, ever growing list of industries. Benefits / Additional Info: Rackner embraces and promotes employee development and training and covers the cost of certifications relevant to a position and the technologies/services provided . Fitness/Gym membership eligibility, weekly pay schedule and employee swag, snacks & events are offered as well! 401K with 100% matching up to 6% Highly competitive PTO Great health insurance with large network of providers Medical/Dental/Vision Life Insurance, and short & long term disability Industry-Leading Weekly Pay Schedule Home office & equipment plan #DataScientist #BusinessAnalyst #Airforce #AFWERX #DAF #dashboards #visualizations

Pay Rate: The annual base salary range for this position is TBD. Please note that the salary information is a general guideline only. At Sawdey Solution Services, we recognize that attracting the best talent is key to our strategy and success as a company. We will consider several factors when extending an offer to an applicant. These factors include (but are not limited to) the position, associated responsibilities, work experience, education, related training, and related skills. Position Location: Dayton, OH (Remote) Telework/Work-from-Home Authorized: Yes About the Role: We are seeking a Data Scientist Analyst. Additional Responsibilities Include, but are not Limited To: Proven experience in data analysis, database management, and data visualization. Strong programming skills in languages such as Python, R, and SQL. Experience with machine learning and statistical modeling techniques. Familiarity with data visualization tools such as Tableau or Power BI. Excellent communication and presentation skills, with the ability to translate complex data insights for non-technical audiences. Ability to work independently and collaborate effectively with cross-functional teams. Knowledge of the defense industry and the AFWERX program. Assist with proposal development, if necessary. Perform other duties, as assigned. Experience Requirements: Minimum 5 years of Data Science experience. Education Requirements: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Other Required Skills & Abilities: Must be able to effectively communicate with customer and fulfill all duties and responsibilities as listed in the contract. Must be proficient in Microsoft Office suite including, but not limited to: Word, PowerPoint, Excel, and Outlook. Security Clearance Requirements: Secret. US Citizenship Requirements: This position supports a U.S. Government Contract whose terms require Sawdey Solution Services to staff it only with U.S. Citizens.

divp style="text-align:left"bBe Here. Be Great. /bWorking for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow. /pp style="text-align:inherit"/pp style="text-align:left"At Great American, we value diversity and recognize the benefits gained when people from different cultures, backgrounds and experiences work collaboratively to achieve business results. We are intentionally focused on fostering an inclusive culture and know valuing diversity is an essential leadership quality. Our goal is to create a workplace where all employees feel included, empowered and enabled to perform at their best. /ph2/h2p style="text-align:inherit"/pp style="text-align:inherit"/pdivdivdivp Pamp;C IT Services provides professional services to help our business units and corporate functions use technology to create, manage, and optimize information and business processes. IT Services can include a wide range of activities such as: software development, data management, Cloud services, IT security, network security, technical support, establishing and overseeing access rights, procuring and maintaining equipment or software, managing the infrastructure, and defining security procedures, The overall goal of IT Services is to provide technology solutions that increase efficiency, reduce costs, and give our company a competitive advantage over our competitors. /pp/pp The Emerging Technology team within Pamp;C IT Services is seeking a Senior Data Scientist to work a hybrid schedule out of the Cincinnati office. /p/divp/ppspanspan The main job of a Data Scientist is to know how /spanspanturn/spanspan a business problem into a math problem. The lesser job of a Data Scientist is using computers to turn that math problem into a business solution. You must know how to do the second one and at minimum want to know how to do the first and be driven to learn. /spanspan /span/spanspan /span/p/divdivpspanspan You will work on a highly collaborative team of /spanspandata /spanspanprofessionals who are excited to solve the business needs at Great American. Having a strong work ethic, intellectual honesty, and /spanspangood ideas/spanspan are what matter, not seniority and job title. Be willing to learn, be willing to teach, champion your ideas, be the first to admit when they are wrong, and even if you /spanspanaren't/spanspan wrong, be willing to disagree, but commit to the decisions of management. If you do this/spanspan,/spanspan you will succeed. /span/spanspan /span/p/divdivullipspanspan Analyzes internal and external data and performs statistical modeling to develop actionable insights and recommendations to management /spanspanregarding/spanspan business and product performance. /span/spanspan /span/p/li/ul/divdivullipspanspan Develops data mining /spanspanarchitectures/models/protocols,/spanspan statistical reporting, and data analysis methodologies to /spanspanidentify/spanspan trends and extract knowledge from large, high dimensional data sets. /span/spanspan /span/p/li/ul/divdivullipspanspan Identifies/spanspan areas to increase efficiency and automation of data analysis processes. /span/spanspan /span/p/li/ul/divdivullipspanspan Translate business /spanspanproblems/opportunities/spanspan into technical requirements and data science specifications. /span/spanspan /span/p/li/ul/divdivullipspanspan Creates solutions that enable enhanced business performance and decision making through a range of data preparation, modeling, /spanspananalysis/spanspan and/or visualization techniques. /span/spanspan /span/p/li/ul/divdivullipspanspan Uses artificial intelligence and machine learning to develop processes automation. /span/spanspan /span/p/li/ul/divdivullipspanspan Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. /span/spanspan /span/p/li/ul/divdivullipspanspan Develops and /spanspanmaintains/spanspan strong business knowledge and customer relationships. /span/spanspan /span/p/li/ul/divdivullipspanspan May estimate the economic impact of operational decisions. /span/spanspan /span/p/li/ul/divdivullipspanspan Actively /spanspanparticipates/spanspan in scrum planning and documentation in support of producing /spanspanm/spanspaninimum/spanspan /spanspanv/spanspaniable/spanspan /spanspanp/spanspanroducts as well as /spanspanproduct long term roadmaps/span/spanspan /span/p/li/ul/divdivullipspanspan Performs other duties as assigned. /span/spanspan /span/p/li/ul/div/divdivdivp/ppbspanspan What /spanspanelse /spanspana Senior Data Scientist should bring:/span/span/bspan /span/p/divdivullipspanspan Understand how the /spanspanblack box comes to its answers and be able to explain that to non-technical users/spanspan. /span/spanspan /span/p/li/ul/divdivullipspanspan Ideate and d/spanspaniscuss alternate paths to /spanspanachieving t/spanspanactical/spanspan goals /spanspanwhile/spanspan staying focused on the strategic /spanspangoals. /span/spanspan /span/p/li/ul/divdivullipspanspan Keeping abreast of the latest developments in the AI/ML space. /span/spanspan /span/p/li/ul/divdivullipspanspan Manage interns and ensure the work products they produce meet team standards/spanspan. /span/spanspan /span/p/li/ul/divdivp/ppbspanspan Requirements:/span/spanspan /span/b/p/divdivullip6 years of experience. /p/lilipspanspan Internal drive to expand your personal domain /spanspanexpertise/spanspan and an insatiable curiosity about how to /spanspanuse /spanspanthat /spanspanexpertise/spanspan in collaboration with other team members to mitigate/spanspan our current and future customers'/spanspan financial insecurities. /span/spanspan /span/p/li/ul/divdivullipspanspanB. S. /spanspan (or above)/spanspan in Applied Math, Statistics, Engineering, Finance, Science, or Computer Science/spanspan or /spanspanequivalent experience/span/spanspan /span/p/li/ul/divdivullipspanspan Coding skills in Python/spanspan, the core AI/ML libraries (required)/span/spanspan /span/p/li/ul/divdivullipspanspan PyTorch/spanspan, and the /spanspan HuggingFace/spanspan library (bonus)/span/spanspan /span/p/li/ul/divdivullipspanspan Know your math:/span/spanspan /span/p/li/ul/divdivullipspanspan Statistics - What is a hypothesis test and what is the central limit theorem? (required)/span/spanspan /span/p/li/ul/divdivullipspanspan Linear Algebra - Be able to explain Singular Value Decomposition and what an Eigenvector is/spanspan. /span/spanspan /span/p/li/ul/divdivullipspanspan Stochastic processes/spanspan (bonus)/span/spanspan /span/p/li/ul/divdivullipspanspan Bayesian Statistics/spanspan (I almost want to say /spanspan, but I /spanspanwon't/spanspan)/span/spanspan /span/p/li/ul/divdivullipspanspanA solid understanding of finance/span/spanspan /span/p/li/ul/divdivullipspanspan Option/spanspan pricing model/spanspan - Why is this important to insurance?/span/spanspan /span/p/li/ul/divdivullipspanspan What is the difference between /spanspanrisk avoidance, mitigation, and mediation?/span/spanspan /span/p/li/ul/div/divp style="text-align:inherit"/pp style="text-align:left"bBusiness Unit:/b/pProperty amp; Casualty IT Servicesp style="text-align:inherit"/pp style="text-align:inherit"/pp style="text-align:left"bBenefits: /b/pp Compensation varies by role, position level, and location. Individual pay is influenced by skills, education, training, certifications, experience, and the role's scope and complexity, along with business needs. /ppbr/We offer a competitive Total Rewards package, including medical, dental, and vision plans starting on day one, PTO, paid holidays, commuter benefits, an employee stock purchase plan, education reimbursement, paid parental leave/adoption assistance, and a 401(k) plan with company match. These benefits are available to eligible full-time and part-time employees. /ppbr/Your recruiter can provide more details about our total rewards and specific compensation ranges during the hiring process. /p/div

Insight Global is hiring a fulltime employee for our client who is looking for a Sr data scientist. We are seeking a dedicated and forward-thinking individual to join our team as a Data Science Researcher. In this role, you will delve into internal and external data, perform advanced statistical modeling, and develop pioneering data mining architectures to uncover trends and extract valuable insights from large, high-dimensional data sets. Your expertise in artificial intelligence and machine learning will drive the development of new methodologies and processes that inform business decisions. - Analyzes internal and external data and performs statistical modeling to develop actionable insights and recommendations to management regarding business and product performance. - Develops data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends and extract knowledge from large, high dimensional data sets. * Identifies areas to increase efficiency and automation of data analysis processes. * Translate business problems/opportunities into technical requirements and data science specifications. - Creates solutions that enable enhanced business performance and decision making through a range of data preparation, modeling, analysis and/or visualization techniques. - Uses artificial intelligence and machine learning to develop processes automation. - Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. - Develops and maintains strong business knowledge and customer relationships. - May estimate the economic impact of operational decisions. - Leads small to moderately complex projects. - May have responsibility for performance and coaching of staff and may have a participatory role in decisions regarding talent selection, development, and performance management for direct reports. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements Must Have Requirements * Experience in the Information Technology field focusing on AI/ML engineering projects, DevOps, MLOps and technical architecture specifically. * Strong architecture & design experience, including experience deploying production enterprise applications in Azure that use AI/ML * Microsoft Certified: DevOps Engineer Expert (within 6 months of hire) * A minimum of 6 years of experience exploring and manipulating large data sets, leveraging structured and unstructured data sources, and applying predictive modeling. Experience in techniques for optimizing models, machine learning, and proficiency in analytical programming languages - Ability to estimate the economic impact of operational decisions - Comprehensive understanding in computer programming, including python Ability to coach peers null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. Roles and Responsibilities: * Design, develop, and deploy machine learning models and algorithms * Understand business problems and identify opportunities to implement data science solutions. * Develop, verify, and validate analytics to address customer needs and opportunities. * Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. * Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). * Ensure efficient data retrieval and augmentation processes to support LLM training and inference. * Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. * Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. * Perform exploratory and targeted data analyses using descriptive statistics and other methods. * Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization * Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. * Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: * Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience * 3 years of proficiency in Python (mandatory). * 2 years' experience with machine learning frameworks and deploying models into production environments * Note: Military experience is equivalent to professional experience Eligibility Requirement: * Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: * Strong analytical and problem-solving skills. * Excellent communication and collaboration abilities. * Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. * Experience with handling unstructured data, including images, videos, and text. * Understanding of computer vision techniques and tools * Ability to work in a fast-paced, dynamic environment. * Experience with data preprocessing and augmentation tools. * Demonstrated expertise in critical thinking and problem-solving methods * Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services * Demonstrated skill in defining and delivering customer value. * Demonstrated expertise working in team settings in various roles * Demonstrated expertise in presentation and communications skills. * Experience with deep learning and neural networks. * Knowledge of data governance and compliance standards. Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

The Operations Data Visualization and Analytics Engineer IV develops database, ETL, and BI solutions to enhance reporting capabilities to meet business operations data requirements. Responsibilities include utilizing data analysis to translate requests into effective data visualization and reporting solutions. Essential Functions: Develop department-wide, scalable, efficient database solutions for supporting reporting functionality Create ETL solutions for automated, scheduled data refreshes and regular report delivery Develop and deploy Power BI dashboards which provide leadership with actionable insights that drive critical business decisions Transform data sets and quantitative and qualitative analysis into usable and effective data for department leaders to make informed business decisions Build highly complex analytic tools that utilize the data pipeline to provide actionable insights and other key business performance metrics, historical trends or benchmarks Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery Perform complex analysis on data to provide insight and address critical business questions Transform data analysis and present findings in a consumable, appealing, and impactful executive level format Create cohesive, strategic plans for developing complex solutions when multiple stakeholders are involved Gather and analyze data, define and document business requirements, recommend technology requirements, review functional specs, and test relevant systems Develop, document and perform testing and validation as needed Conduct examination, testing activities, and explanation of complex data relationships to answer questions identified by the business/department Guide junior department members on key projects Create, implement and enforce coding standards for the team Lead and participate in complex, large-effort data transformation and visualization projects which require cross functional coordination and collaboration across teams Perform any other job duties as instructed Education and Experience: Bachelor's degree in Computer Science, MIS, or related field or equivalent years of relevant work experience is required Minimum of seven (7) years of experience working with ETL, BI, and database solutions is required Experience translating business requirements is required Extensive data analysis experience is required Relevant healthcare or healthcare operations experience is preferred Competencies, Knowledge and Skills: Advanced proficiency with each of the following technologies: SQL, SSIS, and Power BI Expert analytical skills in solving multi-dimensional problems and ability to create reports, dashboards and presentations Expert proficiency using Microsoft Excel Demonstrated graphic development and strong presentation skills High level of skill in building analytic tools that utilize the data pipeline Advanced proficiency performing root cause analysis Critical listening and thinking skills Demonstrated ability to create cohesive, strategic plans for developing complex solutions Strong problem solving and analytical skills Ability to manage multiple priorities, meet deadlines and produce quality results in a fast-paced environment Knowledge of statistical techniques and concepts, AI or ML preferred Ability to work independently and in a team environment Proven ability to influence key decision making across diverse functional areas Excellent written and verbal communication skills Experience with DevOps and CI/CD is preferred Licensure and Certification: Relevant certification in one or more of the following or related is preferred: SQL, SSIS, SSRS, Databricks, Data Engineering, Power BI, Python Working Conditions: General office environment; may be required to sit or stand for extended periods of time Compensation Range: $92,300.00 - $161,600.00 CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package. Compensation Type (hourly/salary): Salary Organization Level Competencies Create an Inclusive Environment Cultivate Partnerships Develop Self and Others Drive Execution Influence Others Pursue Personal Excellence Understand the Business This is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an inclusive environment that welcomes and supports individuals of all backgrounds.

DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results. Learn more at ************* About the Opportunity DMI, LLC is seeking a Data Engineer to join us. We are seeking a Data Engineer to help build, optimize, and scale our data pipelines, optimize data ingestion, transformation, and analysis of complex telecom data. This role will be instrumental in integrating large-scale invoices, usage records, and cost allocations into our AWS-based analytics platform while ensuring data integrity and performance. Duties and Responsibilities: Develop and maintain scalable ETL/ELT pipelines to process large volumes of telecom and financial data from carriers, APIs, and external sources. Design and optimize data models for structured and semi-structured data in PostgreSQL, Redshift, and other databases. Automate data processing workflows to improve efficiency and accuracy in processing telecom invoices, CDRs (Call Detail Records), and billing data. Ensure data quality and integrity, implementing error handling, validation, and reconciliation techniques. Optimize query performance and database structures to support analytics and reporting needs. Collaborate with cross-functional teams including Product, Engineering, DevOps, and Expense Management to understand data requirements and ensure alignment with business goals. Implement monitoring and logging solutions for data pipelines, ensuring reliability and auditability. Work with cloud-based infrastructure in AWS, utilizing services like Lambda, S3, Glue, Redshift, RDS, and Step Functions. Integrate machine learning capabilities into the data pipeline to enhance automation and predictive analytics. Qualifications Education and Years of Experience: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience). A Master's degree in Data Science, Analytics, or Cloud Computing is a plus but not required. Relevant certifications in AWS (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) or database technologies (e.g., PostgreSQL, Redshift, Snowflake) are a plus. 3+ years of experience as a Data Engineer, working with large-scale data processing. Proficiency in Python, SQL, and data transformation frameworks (e.g., dbt, Apache Airflow, or similar). Experience working with AWS cloud services (Lambda, S3, Glue, Redshift, RDS, Step Functions). Strong understanding of ETL/ELT methodologies, data warehousing, and database optimization. Experience with handling large telecom invoices, parsing carrier billing formats, and reconciling financial data is a plus. Experience integrating data from APIs, flat files, XML, JSON, and databases. Knowledge of data governance, compliance, and security best practices. Familiarity with data lake architecture and multi-tenant SaaS platforms. Strong problem-solving and analytical skills, with the ability to debug and optimize complex data processes. Required and Desired Skills/Certifications: Experience with big data technologies such as Spark, Snowflake, or Hadoop. Prior experience working in Telecom Expense Management (TEM) or FinTech. Exposure to DevOps principles, CI/CD pipelines, and infrastructure-as-code tools (Terraform, CloudFormation). Familiarity with BI tools such as Domo, Tableau, or Apache Superset. Knowledge of AI/ML integration for anomaly detection and predictive analytics in telecom data. Min Citizenship Status Required: Must be a U.S. Citizen Physical Requirements: No Physical requirement needed for this position. Location: Cincinnati, OH (potential for remote) #LI-EK1 Working at DMI DMI is a diverse, prosperous, and rewarding place to work. Being part of the DMI family means we care about your wellbeing. As such, we offer a variety of perks and benefits that help meet various interests and needs, while still having the opportunity to work directly with a number of our award-winning, Fortune 1000 clients. The following categories make up your DMI wellbeing: Convenience/Concierge - Virtual visits through health insurance, pet insurance, commuter benefits, discount tickets for movies, travel, and many other items to provide convenience. Development - Annual performance management, continuing education, and tuition assistance, internal job opportunities along with career enrichment and advancement to help each employee with their professional and personal development. Financial - Generous 401k matches both pre-tax and post-tax (ROTH) contributions along with financial wellness education, EAP, Life Insurance and Disability help provide financial stability for each DMI employee. Recognition - Great achievements do not go unnoticed by DMI through Annual Awards ceremony, service anniversaries, peer-to-peer acknowledgment, employee referral bonuses. Wellness - Healthcare benefits, Wellness programs, Flu Shots, Biometric screenings, and several other wellness options. Employees are valued for their talents and contributions. We all take pride in helping our customers achieve their goals, which in turn contributes to the overall success of the company. ***************** No Agencies Please ***************** Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: ***********************************

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Roles and Responsibilities: As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. In this role, you will: * Design, develop, and deploy machine learning models and algorithms * Understand business problems and identify opportunities to implement data science solutions. * Develop, verify, and validate analytics to address customer needs and opportunities. * Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. * Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). * Ensure efficient data retrieval and augmentation processes to support LLM training and inference. * Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. * Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. * Perform exploratory and targeted data analyses using descriptive statistics and other methods. * Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization * Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. * Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: * Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience * 3 years of proficiency in Python (mandatory). * 2 years' experience with machine learning frameworks and deploying models into production environments * Note: Military experience is equivalent to professional experience Eligibility Requirement: * Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: * Strong analytical and problem-solving skills. * Excellent communication and collaboration abilities. * Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. * Experience with handling unstructured data, including images, videos, and text. * Understanding of computer vision techniques and tools * Ability to work in a fast-paced, dynamic environment. * Experience with data preprocessing and augmentation tools. * Demonstrated expertise in critical thinking and problem-solving methods * Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services * Demonstrated skill in defining and delivering customer value. * Demonstrated expertise working in team settings in various roles * Demonstrated expertise in presentation and communications skills. * Experience with deep learning and neural networks. * Knowledge of data governance and compliance standards. * Demonstrated awareness of how to succeed in ambiguous circumstances Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No

As an Advanced Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization. You will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset. Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques. * 4+ years of professional Data Development experience. * 4+ years of experience with SQL and NoSQL technologies. * 3+ years of experience building and maintaining data pipelines and workflows. * 5+ years of experience developing with Java. * 2+ years of experience developing with Python. * 3+ years of experience developing Kafka solutions. * 2+ years of experience in feature engineering for machine learning pipelines. * Experience with GCP services such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow. * Experience with CI/CD pipelines and processes. * Experience with automated unit, integration, and performance testing. * Experience with version control software such as Git. * Full understanding of ETL and Data Warehousing concepts. * Strong understanding of Agile principles (Scrum). * Additional Qualifications * Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies). * Experience with GitHub SaaS/GitHub Actions. * Experience understanding Databricks concepts. * Experience with PySpark and Spark development. Roles & Responsibilities: * Provide Technical Leadership: Offer technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges. * Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets. * Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms. * Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries. * Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards. * Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments. * Mentor Team Members: Mentor team members in data principles, patterns, processes, and practices to promote best practices and improve team capabilities. * Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements. * Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions * Support flows for an ML platform in GCP and needs to be able to work with data science and understand the ML concepts in terms of requirements to be met by the data. #LI-RJ2 Salary Range - $93,700-$135,000 a year

* 4+ plus years of experience in solutioning data pipeline for large enterprise data Warehouse applications using Azure Data Factory, Data bricks, Data Ingestion, Data Transformation /Computation, Orchestration, Reporting & Data Analytics * Knowledge of Azure Services such as ADF, Databricks, Event Hub, Delta Lake, Data Lake * Strong command on Python, Pyspark , SQL & Power BI * Experience in GitHub , Git Action , Jira end to end data pipeline. * Strong knowledge in CICD Pipeline for automatic deployments * Experience in Terraform for Infrastructure Provisioning * Strong knowledge on design and integration patterns * Proficient in technical artifacts e.g., Application Architecture, Solution Design Documents, etc * Strong at analytical and problem-solving skills * Experience working with multi-vendor, multi-culture, distributed offshore and onshore development teams in dynamic and complex environment. * Experience in Retail is desired, not mandatory. * Must have excellent written and verbal communication skills. Roles & Responsibilities: * Understand the requirements, current state architecture of the enterprise and create roadmap for the future enhancements accordingly. * Need to lead & mentor the team and solved technical escalations. * Need to proactively in communicating the escalated issues to feature team & product managers. * Create Software Architecture Document, High Level and Low-Level Design document, Nonfunctional requirements for the project. * Define Integration Design and Security Design for the Web Services and Enterprise components involved. * Participate in production of detailed functional des ign documents to match customer requirements. * Participate in production of technical specification for development and integration requirements. * Review design documents for services such as Service Design Document, Service physical Document and define Service SLAs in Nonfunctional requirements. * Collect and Provide estimates for the requirements. * Engage with client architecture group. * Collaborate with internal technology teams and contribute to internal initiatives. #LI-RJ2 Salary Range: $80,000-$90,000 a year