Data science internship jobs in Manchester, CT - 96 jobs

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The hourly salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual hourly rate for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $35.00 - $45.00 **Target Openings** 30 **What Is the Opportunity?** The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization. As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques. You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics. Applications for this posting will be reviewed on a rolling basis beginning in early November. We encourage you to apply as soon as possible. **What Will You Do?** + The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance. + DSLDP Intern duties will vary based on the specific assignment, within one of our research groups, including: + Bond & Specialty Insurance + Business Insurance Research & Development + Claim Business Intelligence & Analytics + Personal Insurance Research & Development + Other departments, including Artificial Intelligence and Emerging Technologies + Work includes: + Providing recommendations on projects that deal with data science related concepts + Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business + Identifying, integrating and structuring complex data flows + Identifying new opportunities for analytic solutions + Validate, manipulate and perform data analysis tasks + Provide qualitative and quantitative data support to ensure accuracy of metrics + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Pursuing a Master's or PhD level degree in Statistics, Mathematics, or Data Science. + Applied statistical knowledge and experience solving "real-world" problems. + Demonstrated ability to communicate technical concepts to a non-technical audience. + Experience with a programming language (Python, R, SAS, etc). + Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results. + Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making. + Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands. + Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients. + Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility. + Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude. + Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position. + Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives. + Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results. + Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result. + Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn. **What is a Must Have?** + Pursuing a Master's or PhD level degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. We are committed to providing accommodation to persons with disabilities. If you require accommodation during the recruitment or interview process we will work with you to accommodate your needs. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description Primary Responsibilities: • Develops data requirements and specifications and is able to perform / execute tasks to support data development, design, automation, compilation, and preparation and testing of data / datasets. • Reviews, enhances and tests data management processes. • Performs data and process analysis. • Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: • Competent in use & writing SQL / SAS for data analysis and data mining tools (experience working with Big Data tools a plus). • Comprehensive analytical, reasoning, problem-solving and communications skills. • BS or BA degree required; business or technology concentration desired. • Familiarity with Business Intelligence tools and technologies. • Generally, experience working with data management systems and tools outlined below: o SQL (3-5 yrs.) - ability to write, review, and troubleshoot / optimize SQL queries o SAS (2-3 yrs.) - ability to write, review, and troubleshoot / optimize SAS code o Hadoop / Cloudera - working knowledge / familiarity o Other DB - working knowledge / familiarity o Good project management skills. Additional Information To know more about this position, please contact: YOGESH PRABHAKAR ************

RBC Bearings Incorporated (NYSE: RBC) is a leading international manufacturer of highly engineered precision bearings, components and essential systems for the industrial, defense and aerospace industries. Founded in 1919, the Company is primarily focused on producing highly technical and/or regulated bearing products and components requiring sophisticated design, testing and manufacturing capabilities for the diversified industrial, aerospace and defense markets. We currently have 60 facilities, of which 43 are manufacturing facilities in ten countries and our market capitalization is approximately $14.5 billion. JOB TITLE/LOCATION: Data Analyst- Oxford, CT Job Summary: The Data Analyst will support the Heim Bearings division. This position will work within the operations group based out of our plant in Fairfield, CT, and corporate office in Oxford, CT. Our ideal candidate would have an interest in growing within this role to take on responsibilities related to production. This is an entry-level position with the potential for a promotion into a larger role. Responsibilities: Creating and interpreting production data to help identify trends and promote improvement in operations. Building reports from data collected and updating accurately. Ship plan, earned hours, spending, and past due shipment tracking. Provide data to Master Schedulers, Production Control, and engineers to promote on floor quality and efficiency. Aggregates and performs statistical analysis on production data based on requests from project teams or senior leadership. Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed. Writes queries or reports to provide data for various analytical projects. Interprets data to identify business trends, conduct root cause analysis of production problems, or suggest areas for process improvement. Handles moderately complex issues and problems and refers more complex issues to higher‐level staff. Attendance at work is an essential function of this job Job Requirements: Bachelor's degree in engineering, marketing, finance or related field. Basic understanding of RBC products and costs. Ability to develop production analysis reports and create new databases and dashboards. Ability to define problems, collect data, establish facts, and draw valid conclusions. Must have knowledge of Access, Power BI, Excel, Database Software, Internet Software, Project Management Software, Spreadsheet Software, and Word Processing Software. Ability to work as part of a team. Analytical thinking skills. Statistical knowledge. Technical expertise. Computer skills. Detail oriented. Ability to meet deadlines. Mathematical skills. Education: Bachelor's degree required with major in, engineering, business, marketing, finance or related field. We offer competitive compensation and excellent benefits including Medical, Dental, and company matched 401k plan. RBC Bearings is an Equal Opportunity Employer, including disability and protected veteran status.

Who We Are At Encore Fire Protection, we are proud to be the east coast's largest full-service fire protection company, serving over 97,000 customers from Maine to Florida. With a team of over 2,400 dedicated employees, we provide innovative, customized fire suppression, fire sprinkler, and fire alarm solutions that protect lives and properties every day. Our goal is to deliver superior experience to those who trust us to safeguard what matters most. We are passionate about continuous growth, innovation, and maintaining a culture that thrives on success and commitment to safety. Our mission? To be the best fire protection company the industry has ever seen. Position Summary: We are seeking a detail-oriented Purchasing Data Information Specialist to enter, maintain, and organize procurement data, ensuring accuracy and accessibility for decision-making. This role will work closely with the Purchasing team to understand vendor data, troubleshoot data validity issues, optimize the material order process, and identify future platform needs. Our newly implemented Parts and Vendor database is designed to streamline procurement operations across the entire organization, serving as a central resource for the Operations, Warehouse, and Purchasing teams. Key Responsibilities: Coordinate the data import process of vendor parts by requesting and receiving detailed part information, entering it into the platform, and tracking progress to ensure timely and accurate integration into procurement systems. Enter and maintain supplier master data, including pricing, lead times, contract terms, and contact details, to support accurate purchasing decisions and compliance. Manage global item lists across multiple platforms, ensuring consistency, accuracy, and alignment with organizational standards. Collaborate with the Purchasing Data Supervisor and Procurement Director to prioritize and execute data cleanup initiatives, ensuring alignment with established purchasing reporting standards. Support digital transformation initiatives in procurement, including automation of purchasing tasks and data integration. Qualifications: Bachelor's degree in Business Administration, Supply Chain Management, Data Analytics, or related field (or equivalent experience). 1-3 years of experience in data management, data entry, or related roles. Strong proficiency in Microsoft Excel and other data tools. Excellent attention to detail, analytical thinking, and organizational skills. Demonstrated ability to take initiative and work independently. Excellent documentation, collaboration, and communication skills. Preferred Skills: Prior experience with data visualization tools (e.g., Power BI). Experience with procurement platforms. Familiarity with e-procurement systems and supplier portals. What We Offer: At Encore, we're all about creating a culture where success is celebrated. We recognize that our work makes people's lives safer, and we reward those who contribute to our growth. Here's what you can expect: Competitive Salary: Compensation commensurate with your experience, with the opportunity to earn performance-based bonuses tied to your personal effectiveness and contributions to the team. Purpose-Driven Work Environment: We believe in working smarter, not harder. You'll be part of a culture that values results, and we empower our team to focus on impactful work. Flexible Dress Code: Upon joining, you'll receive branded Encore gear and we believe in dressing for the objective, not the occasion. Most days, you can enjoy a casual work environment, but we'll dress up when the situation calls for it. Innovative Culture: We encourage a culture of experimentation and improvement. You'll have the freedom to express your ideas and be part of a company that is always looking to improve and grow. Tools for Success: Access to leading-edge web-based productivity tools. Health and Wellness: Comprehensive medical, dental, and vision coverage through Blue Cross to keep you and your family healthy. Retirement Planning: Participation in our Fidelity 401(k) plan with a company match, helping you save for your future. Life Insurance: Company-paid life insurance policy of $50,000 to give you peace of mind. Encore Fire Protection is an Equal Opportunity Employer. Encore Fire Protection is an E-Verify Employer. As an EEO/AA employer, Encore Fire Protection considers applicants for employment without regard to, and does not discriminate based on gender, sex, sexual orientation, gender identity, national origin, age, race, protected veteran status, disability, or any other legally protected status. #LI-LP1

Tsunami Tsolutions is seeking a motivated Data Scientist to join its Aviation Analytics department. This person will be responsible for developing and deploying solutions to various customers that utilize a wide range of analytics tools. They will work with team members and customers to identify new sources of value and take actions to capture it. The selected individual will also work to ensure data quality and provide metrics as indicators of the current state. This role will also require the presentation of findings to customers and senior management. NOTE: This position requires access to technologies and hardware subject to US national Security based export control requirements. All applicants must be US Citizen (8 USC 1324b(a)(3)), or otherwise authorized by the U.S. Government. NO Company Sponsorship offered. Responsibilities: • Working with stakeholders to understand complex business processes and data streams. • Collaborate with stakeholders and whiteboard solutions. • Identify, collect and clean data from multiple sources • Validate, interpret and provide business insights • Research, build, implement and evaluate various analytic techniques to select the best application • Work with team members to deploy solutions across the organization • Reporting periodic progress on projects, including tracking usage and value derived from the models Position Requirements • B.S degree in computer science, data science or engineering. Advanced Degree Preferred • 3-5 years of industry experience preferred • Experience building dashboards and visualizations using Qlik, Power BI, Tableau or similar • Strong programming skills on languages used in data science including Python, R and SQL • Advanced proficiency in Microsoft Excel with competency in vlookups, pivot tables, etc. • Ability to learn new concepts quickly and translate them into practical applications • Ability to effectively communicate findings to non-technical audiences • Experience building and implementing machine learning models in Python or R a plus Offer contingent upon successful completion of a background check and drug screen.

Job Description Fair Haven Community Health Care For over 54 years, FHCHC has been an innovative and vibrant community health center, catering to multiple generations with over 165,000 office visits across 21 locations. Guided by a Board of Directors, most of whom are patients themselves, we take pride in being a healthcare leader dedicated to delivering high-quality, affordable medical and dental care to everyone, regardless of their insurance status or ability to pay. Our extensive range of primary and specialty care services, along with evidence-based programs, empowers patients to make informed choices about their health. As we expand our reach to underserved areas, our commitment to prioritizing patient needs remains unwavering. FHCHC's mission is to enhance the health and social well-being of the communities we serve through equitable, high-quality, and culturally responsive patient-centered care. This position is onsite commuting of New Haven, CT. Job purpose The Data Analyst II is responsible for gathering, organizing, analyzing and presenting data. The responsibilities include extracting data, maintaining databases and creating reports. The role also identifies trends and patterns in data sets and provides meaningful insights to inform and impact important business decisions that advance the mission of Fair Haven Community Health Care (FHCHC). Duties and responsibilities Reporting to the Data & Analytics Director, the Data Analyst II uses analytical skills and expertise in data processing to provide insightful data analysis for all organizational data needs and requirements. They are responsible for interpreting complex data sets, developing actionable insights, and creating detailed reports and dashboards to enhance decision-making and drive business performance. Typical duties include but are not limited to: Approves team workflow and processes documentation for the benefit of team and organizational data governance and contributes to the ongoing development of data dictionary, standards and training Creates and develops the processes of data collection, data analysis, and data review for quality improvement, grants, and other programs Designs, develops, and manages databases for quality and appropriateness of source data to support the creation, validation, and visualization of reports Ensures the consistency and maintainability of existing data assets by creating, maintaining, and enforcing standards/procedures for data management Fulfills ad-hoc requests from staff (e.g. scheduling reporting, changes to metrics, views, and updates to visualizations) Leads investigations (root cause analysis) and resolution of systems problems Maintains and improves data pipelines, queries, master datasets, and dashboards Maintains and manages strict adherence to all deadlines including reporting deadlines and timely completeness of documentation Oversees and develops the interfaces and systems FHCHC uses to store, display, transfer and report data; including but not limited to coding for data extraction from multiple databases and server combinations Partners with members of staff to promote the effective use of shared data Performs other necessary duties as required by FHCHC to achieve the goal of providing high quality services Recommends solutions with key stakeholders when data issues occur that are likely to impact operations and business outcomes Supports teams and committees working on quality improvement projects Works effectively with all levels within the organization and establishes strong relationships at all levels of FHCHC and community connect organizations Works in collaboration with internal and external stakeholders; providers, directors, department managers, vendors and others, to identify and meet the continuous data and business intelligence requirements of the organization Qualifications Bachelor's degree in business, computer science, data science, engineering, information systems and 5 years' experience are required. The selected candidate will have: Ability to work independently, make decisions and provide training Competence in data quality and data governance with complex healthcare data sets Demonstrated ability to understand, analyze, document, explain business processes and the data behind them Excellent data analysis and data management skills Exceptional communication, interpersonal, organizational and attention to detail skills Experience with a variety of software and online platforms (e.g. Adobe, Dropbox Sign, FileZilla, Power BI, Electronic Handbook, 340B ESP, Value Set Authority) Experience with data visualizations, demonstrating correlations, trends, forecast, etc. (e.g. Advanced Excel, Power BI, Tableau) Experience working with Electronic Health Records (EHR), population health software, medical claims, and other healthcare data and regulations Experience writing well-formed SQL queries for data reporting, as well as other data management tools (e.g. SQL Server, Tableau, Power BI, Advanced Excel) Must be flexible and adaptable to change in a fast-paced environment Superior skills in follow-through, self-directed work and independent problem solving Experience with Federally Qualified Health Centers and Uniform Data System (UDS), and with the Epic EHR system and familiarity with software engineering and coding languages (e.g. HTML, Python, R, C#, cloud software) in addition to SQL, is highly desirable. American with Disabilities Requirements: External and internal applicants, as well as position incumbents who become disabled, must be able to perform the essential job specific functions (listed within each job specific responsibility) either unaided or with the assistance of a reasonable accommodation to be determined by the organization on a case by case basis. Fair Haven Community Health Care is an Equal Opportunity Employer. FHCHC does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Powered by JazzHR 9quRl9stiw

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Company Details Berkley Small Business Solutions (BSB) will offer commercial insurance products for standard and preferred non-fleet transportation and small businesses. We will utilize a modern technology platform that will leverage data and analytics to deliver a superior customer experience. W. R. Berkley Corporation, founded in 1967, is one of the nation's premier commercial lines property casualty insurance providers. Each of the operating units in the Berkley group participates in a niche market requiring specialized knowledge about a territory or product. Our competitive advantage lies in our long-term strategy of decentralized operations, allowing each of our units to identify and respond quickly and effectively. Responsibilities Berkley Small Business is seeking a motivated and analytical Data Analytics Intern to join our team for the summer. This internship offers an opportunity to gain hands-on experience in analyzing operational data to drive business insights and decisions. Key responsibilities will include but are not limited to: Collect, clean, and analyze operational data using SQL queries and other data analysis tools. Develop and maintain interactive dashboards and reports using Power BI to visualize key performance indicators and metrics. Assist in identifying trends, patterns, and opportunities for process optimization and improvement. Collaborate with cross-functional teams to understand business requirements and provide analytical support for operational initiatives. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications Currently enrolled in an undergraduate degree program in a quantitative field such as Business Analytics, Data Science, Statistics, or related field. Proficiency in SQL for data extraction, manipulation, and analysis. Experience with data visualization tools such as Power BI or Tableau. trong analytical and problem-solving skills with attention to detail. Excellent communication and interpersonal skills, with the ability to work effectively in a team environment. Prior internship or coursework related to analytics or business intelligence is a plus The Company is an Equal Employment Opportunity Employer. Additional Company Details We do not accept any unsolicited resumes from external recruiting agencies or firms. Sponsorship Details Sponsorship not Offered for this Role

Job DescriptionSalary: MPS Baltic client OP Corporate Bank is part of OP Financial Group, the leading financial services group in Finland. OP Corporate Bank has been operating in Lithuania for 12 years, offers services to business customers and focuses on large companies. CurrentlyOP Corporate Bank is looking for aData Scientistto join their team in Vilnius. Do you have a passion for credit risk, data science, and automation? We invite you to make a deep dive into genuine banking expertise, managing credit risk, and solving substantial real-world financial challenges in a dynamic and forward-thinking environment. This opportunity allows you to grow as a credit risk expert by applying cutting-edge data science techniques, collaborating with top professionals in Lithuania and Finland, and contributing to innovative banking solutions. The Role: Improve existing and create new data-driven tools in DataBricks for efficiency and automation Contribute to the ongoing Azure cloud transformation in credit risk area Contribute to the optimization/automation of MLflow deployments Promoting best practices across department, contributing/organizing workshops Work with Python, Spark, SQL, and Git to manage and analyse data The Person: 2+ years of experience in data analysis, modelling, or machine learning Python & SQL proficiency Experience with Git Strong analytical & problem-solving skills Fluent Lithuanian and English (written & spoken) Credit risk and/or Azure Databricks experience is a bonus What is offered: Professional Growth: Work in a Scandinavian corporate culture that values learning and development Advanced Technology: Use Azure, Databricks, Python, and ML models in a cloud-based environment Impactful Work: Contribute to credit risk modelling, automation, and analytics that drive business decisions Collaboration: Work with top data professionals in Lithuania and Finland Competitive Package: Salary depending on your experience and competencies, plus health insurance, lunch subsidies, event budget, parking, and more International Experience: Opportunity for business trips to Finland Should you feel that your skills and experience match the above we would be delighted to receive your application. To apply in the strictest confidentiality, please send your CV marked Data Scientist to executive search company MPS Baltic by email:*********. Only short-listed candidates will be contacted. Additional information provided on ph.: +************5, Ina Skiauterien. Check out more about OP Corporate Bank Lithuania branch on*********************

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW AT CR we know there's more to testing cars than measuring how the rubber meets the road. In addition to testing 50 vehicles a year (driving them hundreds of thousands of miles), we also dig deep into the data--churing through reams of reliability and satisfaction surveys collected from our members, as well as external data, to supplement the analysis, evaluation and rating from our test drives. The information we share helps consumers make fully informed choices about the purchase and maintenance of their vehicles. The Automotive Data Analyst and Content Researcher will report to the Associate Director, Automotive Data Integration. In this position, you will oversee the collection, validation, and internal processes for the various auto vendor and CR survey and testing data. Working closely with other auto team members, you will apply your data management expertise to ensure that our auto data collection is consistent and our analysis is accurate. If you love data and all things automotive, we'd love to hear from you. This is an on-site position, based in Colchester, CT. This position is not eligible for relocation assistance or sponsorship. How You'll Make An Impact At CR, we test products and services so consumers can make informed decisions and use their buying power to help create a marketplace that puts them first. You'll be an integral part of our mission as you maintain our auto database of information and inform our team of the latest developments in the automotive market. On a daily basis, you may: Partner with Auto Test engineers and technicians to translate individual tests to ratings. Collaborate with Data Engineering to assure the database is optimized for the auto test and publish program. Ensure the Model Year Vehicle data is updated to reflect the latest information for on-line articles and reports. Identify and map various external and internal data feeds to provide comprehensive data for consumers and clients. Maintain quality and integrity of data in the Cars Database. Identify trends from our extensive automotive data and outside sources and submit concise reports with data and graphics. Utilize AI and data visualization tools for understanding and presenting large datasets and information. Follow automotive news and changes in industry and individual models. Help identify which new vehicles should be tested or updated. Work with and support the Program Leader, Auto Data Analytics to process survey data and to provide insights and data for articles, videos, and social media. Assist the Associate Director in assessing new data needs and identifying the best methods to capture and incorporate in the database as well as report mechanisms. Update written road tests for publishing on the Consumer Reports website. ABOUT YOU You'll Be Highly Rated If: You have the experience. You have at least 3-years of experience working in automotive data. You have the skills. You are proficient and have worked with Tableau, Python and SQL. You are data driven. You use data analysis, visualization and fundamentals to drive decisions and recommendations. You are a strong collaborator, able to partner with other stakeholders, including content and technology. You know the systems. You are comfortable with and proficient in Microsoft Office and Google Suite. You have a valid Driver's License. You'll Be One of Our Top Picks If: You've worked with emerging technologies. You are familiar with machine learning and AI. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $75K-$85K. It is anticipated that most qualified candidates will fall near the middle of this range.Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Accepting applicants in CT, FL, MN, NJ, NC, OH, TX Mediate.ly is seeking a hands-on Data Scientist to elevate media performance analysis, predictive modeling, and channel optimization. In this role, you'll leverage advanced machine learning techniques and generative AI tools to uncover actionable insights, automate reporting, and enhance campaign effectiveness across digital channels. You'll manage and evolve our existing performance dashboard (with a small external team), own the feature roadmap, and collaborate closely with Primacy on SEO/CRO data integration. A key part of the role involves supporting Account teams with clear, insight-rich reporting powered by enhanced data storytelling and visualization. This was meant for you if you are passionate and skilled in transforming complex datasets into clear, compelling insights. Measures: AI-Enhanced Reporting & Insight Automation Business & Media Impact Reporting Standardization and Quality Dashboard & Data Product Ownership Reports to: President RESPONSIBILITIES: Media & Channel Analytics Analyze paid media across Google Ads, Meta, LinkedIn, Programmatic, YouTube; translate results into clear recommendations. Build/maintain attribution approaches (last-click, MTA, assisted) and funnel diagnostics. Integrate CRM/GA4/platform data to surface actionable trends by geo, audience, and creative. Predictive Modeling & Experimentation Develop forecasting and propensity models to guide budget allocation and channel mix. Run simulations (CPM/CPC/conv-rate scenarios) and design A/B and lift tests. Partner with SEO/CRO to connect acquisition with on-site conversion improvements. Dashboard Ownership (Existing Platform) Manage the dashboard development team (backlog, priorities, sprints) and collaborate on new features that improve usability and insight depth. Gather stakeholder requirements (Accounts, Media, Leadership) and maintain a transparent roadmap. Ensure data reliability (ETL QA, schema governance, tagging/UTM standards). Reporting & Client Enablement Support Account teams with data-backed, insight-driven reporting (monthly/quarterly reviews, executive summaries, narrative analyses). Build repeatable report templates; automate where possible while preserving clear storytelling. AI & Product Ideation Explore LLM/ML use cases (persona signals, creative scoring, conversion prediction). Prototype lightweight tools for planners/buyers (e.g., channel recommender, influence maps). What it takes to succeed in this role- QUALIFICATIONS: 5-7 years in data science/marketing analytics/digital media performance. Proficient in Python or R; strong SQL; experience with GA4/BigQuery and media platform exports. Comfort with BI tools (Looker Studio, Tableau, Power BI) and dashboard product management/ Data visualization. Familiarity with generative AI tools (e.g., OpenAI, Hugging Face, or Google Vertex AI) for automating insights, reporting, or content analysis. Comfortable in a fast-paced environment with competing priorities. Experience applying machine learning models to media mix modeling, customer segmentation, or predictive performance forecasting. Strong understanding of marketing attribution models and how to evaluate cross-channel performance using statistical techniques. Excellent communicator who can turn data into decisions for non-technical stakeholders. Experience with paid media a plus! Key Competencies Data Visualization & Storytelling - Skilled in transforming complex datasets into clear, compelling insights using tools like Tableau, Power BI, or Python libraries. AI & Machine Learning Expertise - Proficient in applying supervised and unsupervised learning techniques to optimize media performance and audience targeting. Media Analytics & Attribution - Deep understanding of digital media metrics, multi-touch attribution models, and cross-channel performance analysis. Dashboard Development & Management - Experience managing analytics dashboards, defining feature roadmaps, and collaborating with developers for scalable solutions. SEO/CRO Data Integration - Ability to synthesize SEO and conversion rate optimization data to inform predictive models and campaign strategies. Stakeholder Communication - Strong ability to translate data into actionable insights for Account teams and clients, supporting strategic decision-making. Automation & Efficiency - Familiarity with AI tools to streamline reporting, anomaly detection, and campaign optimization workflows. Statistical Analysis & Experimentation - Proficient in A/B testing, regression analysis, and causal inference to validate media strategies. The Perks: The best co-workers you'll ever find Unlimited PTO Medical, Dental, Vision, 401k plus match Annual performance bonus eligibility Ongoing training opportunities Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT: Prolonged periods of sitting at a desk and working on a computer. Occasional standing, walking, or lifting of office supplies (up to 10-20 lbs.) Frequent communication via phone, email, and video conferencing. Work is performed in a temperature-controlled office environment with standard lighting and noise levels. Position may require occasional travel to client site Compensation Range: We offer a competitive salary based on experience and qualifications. The compensation range for this position is $90,000 to $100,000 annually, with potential for bonuses, stock and additional benefits. EEO & Accessibility Statement Primacy is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require reasonable accommodation during the application or interview process, please contact [email protected]

RISE Data Scientist Reports to: Monitoring, Evaluation, and Learning Manager Salary: Competitive and commensurate with experience Please note: Due to the upcoming holidays, application review for this position will begin the first week of January. Applicants can expect outreach by the end of the week of January 5. Overview: The RISE Network's mission is to ensure all high school students graduate with a plan and the skills and confidence to achieve college and career success. Founded in 2016, RISE partners with public high schools to lead networks where communities work together to use data to learn and improve. Through its core and most comprehensive network, RISE partners with nine high schools and eight districts, serving over 13,000 students in historically marginalized communities. RISE high schools work together to ensure all students experience success as they transition to, through, and beyond high school by using data to pinpoint needs, form hypotheses, and pursue ideas to advance student achievement. Partner schools have improved Grade 9 promotion rates by nearly 20 percentage points, while also decreasing subgroup gaps and increasing schoolwide graduation and college access rates. In 2021, the RISE Network was honored to receive the Carnegie Foundation's annual Spotlight on Quality in Continuous Improvement recognition. Increasingly, RISE is pursuing opportunities to scale its impact through research publications, consulting partnerships, professional development experiences, and other avenues to drive excellent student outcomes. Position Summary and Essential Job Functions: The RISE Data Scientist will play a critical role in leveraging data to support continuous improvement, program evaluation, and research, enhancing the organization's evidence-based learning and decision-making. RISE is seeking a talented and motivated individual to design and conduct rigorous quantitative analyses to assess the outcomes and impacts of programs. The ideal candidate is an experienced analyst who is passionate about using data to drive social change, with strong skills in statistical modeling, data visualization, and research design. This individual will also lead efforts to monitor and analyze organization-wide data related to mission progress and key performance indicators (KPIs), and communicate these insights in ways that inspire improvement and action. This is an exciting opportunity for an individual who thrives in an entrepreneurial environment and is passionate about closing opportunity gaps and supporting the potential of all students, regardless of life circumstances. The role will report to the Monitoring, Evaluation, and Learning (MEL) Manager and sit on the MEL team. Responsibilities include, but are not limited to: 1. Research and Evaluation (30%) Collaborate with MEL and network teams to design and implement rigorous process, outcome, and impact evaluations. Lead in the development of data collection tools and survey instruments. Manage survey data collection, reporting, and learning processes. Develop RISE learning and issue briefs supported by quantitative analysis. Design and implement causal inference approaches where applicable, including quasi-experimental designs. Provide technical input on statistical analysis plans, monitoring frameworks, and indicator selection for network programs. Translate complex findings into actionable insights and policy-relevant recommendations for non-technical audiences. Report data for RISE leadership and staff, generating new insights to inform program design. Create written reports, presentations, publications, and communications pieces. 2. Quantitative Analysis and Statistical Modeling (30%) Clean, transform, and analyze large and complex datasets from internal surveys, the RISE data warehouse, and external data sources such as the National Student Clearinghouse (NSC). Conduct exploratory research that informs organizational learning. Lead complex statistical analyses using advanced methods (regression modeling, propensity score matching, difference in differences analysis, time-series analysis, etc). Contribute to data cleaning and analysis for key performance indicator reporting. Develop processes that support automation of cleaning and analysis for efficiency. Develop and maintain analytical code and workflows to ensure reproducibility. 3. Data Visualization and Tool-building (30%) Work closely with non-technical stakeholders to understand the question(s) they are asking and the use cases they have for specific data visualizations or tools Develop well-documented overviews and specifications for new tools. Create clear, compelling data visualizations and dashboards. Collaborate with Data Engineering to appropriately and sustainably source data for new tools. Manage complex projects to build novel and specific tools for internal or external stakeholders. Maintain custom tools for the duration of their usefulness, including by responding to feedback and requests from project stakeholders. 4. Data Governance and Quality Assurance (10%) Support data quality assurance protocols and standards across the MEL team. Ensure compliance with data protection, security, and ethical standards. Maintain organized, well-documented code and databases. Collaborate with the Data Engineering team to maintain RISE MEL data infrastructure. Qualifications Master's degree (or PhD) in statistics, economics, quantitative social sciences, public policy, data science, or related field. Minimum of 3 years of professional experience conducting statistical analysis and managing large datasets. Advanced proficiency in R, Python, or Stata for data analysis and modeling. Experience designing and implementing quantitative research and evaluation studies. Strong understanding of inferential statistics, experimental and quasi-experimental methods, and sampling design. Strong knowledge of survey data collection tools such as Key Surveys, Google Forms, etc. Excellent data visualization and communication skills Experience with data visualization tools; strong preference for Tableau. Ability to translate complex data into insights for diverse audiences, including non-technical stakeholders. Ability to cultivate relationships and earn credibility with a diverse range of stakeholders. Strong organizational and project management skills. Strong sense of accountability and responsibility for results. Ability to work in an independent and self-motivated manner. Demonstrated proficiency with Google Workspace. Commitment to equity, ethics, and learning in a nonprofit or mission-driven context. Positive attitude and willingness to work in a collaborative environment. Strong belief that all students can learn and achieve at high levels. Preferred Experience working on a monitoring, evaluation, and learning team. Familiarity with school data systems and prior experience working in a school, district, or similar K-12 educational context preferred. Experience working with survey data (e.g., DHS, LSMS), administrative datasets, or real-time digital data sources. Working knowledge of data engineering or database management (SQL, cloud-based platforms). Salary Range $85k - $105k Most new hires' salaries fall within the first half of the range, allowing team members to grow in their roles. For those who already have significant and aligned experiences at the same level as the role, placement may be at the higher end of the range. The Connecticut RISE Network is an equal opportunity employer and welcomes candidates from diverse backgrounds. RISE Interview & Communication Policy The RISE interview process includes: A video or phone screening with the hiring manager Interviews with the hiring panel A performance task Reference checks Applicants will never receive an offer unless they have completed the full interview process. All official communications with applicants are sent only through ADP or CT RISE email addresses (@ctrise.org). There has been a job offer scam circulating from various email addresses using the domain @careers-ctrise.org-this is not a valid RISE email address. If you receive an email from anyone claiming to represent RISE with a job offer outside of our official channels, or requesting written screening information, and you have not completed the full interview process, please do not respond and report it to ******************.

About Us Bexorg is revolutionizing drug discovery by restoring molecular activity in postmortem human brains. Through our BrainEx platform, we directly experiment on functionally preserved human brain tissue, creating enormous high-fidelity molecular datasets that fuel AI-driven breakthroughs in treating CNS diseases. We are looking for a Junior Data Scientist to join our team and dive into this one-of-a-kind data. In this onsite role, you will work at the intersection of computational biology and machine learning, helping analyze high-dimensional brain data and uncover patterns that could lead to the next generation of CNS therapeutics. This is an ideal opportunity for a recent graduate or early-career scientist to grow in a fast-paced, mission-driven environment. The Job Data Analysis & Exploration: Work with large-scale molecular datasets from our BrainEx experiments - including transcriptomic, proteomic, and metabolic data. Clean, transform, and explore these high-dimensional datasets to understand their structure and identify initial insights or anomalies. Collaborative Research Support: Collaborate closely with our life sciences, computational biology and deep learning teams to support ongoing research. You will help biologists interpret data results and assist machine learning researchers in preparing data for modeling, ensuring that domain knowledge and data science intersect effectively. Machine Learning Model Execution: Run and tune machine learning and deep learning models on real-world central nervous system (CNS) data. You'll help set up experiments, execute training routines (for example, using scikit-learn or PyTorch models), and evaluate model performance to extract meaningful patterns that could inform drug discovery. Statistical Insight Generation: Apply statistical analysis and visualization techniques to derive actionable insights from complex data. Whether it's identifying gene expression patterns or correlating molecular changes with experimental conditions, you will contribute to turning data into scientific discoveries. Reporting & Communication: Document your analysis workflows and results in clear reports or dashboards. Present findings to the team, highlighting key insights and recommendations. You will play a key role in translating data into stories that drive decision-making in our R&D efforts. Qualifications and Skills: Strong Python Proficiency: Expert coding skills in Python and deep familiarity with the standard data science stack. You have hands-on experience with NumPy, pandas, and Matplotlib for data manipulation and visualization; scikit-learn for machine learning; and preferably PyTorch (or similar frameworks like TensorFlow) for deep learning tasks. Educational Background: A Bachelor's or Master's degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field. Equivalent practical project experience or internships in data science will also be considered. Machine Learning Knowledge: Solid understanding of machine learning fundamentals and algorithms. Experience developing or applying models to real or simulated datasets (through coursework or projects) is expected. Familiarity with high-dimensional data techniques or bioinformatics methods is a plus. Analytical & Problem-Solving Skills: Comfortable with statistics and data analysis techniques for finding signals in noisy data. Able to break down complex problems, experiment with solutions, and clearly interpret the results. Team Player: Excellent communication and collaboration skills. Willingness to learn from senior scientists and ability to contribute effectively in a multidisciplinary team that includes biologists, data engineers, and AI researchers. Motivation and Curiosity: Highly motivated, with an evident passion for data-driven discovery. You are excited by Bexorg's mission and eager to take on challenging tasks - whether it's mastering a new analysis method or digging into scientific literature - to push our research forward. Local to New Haven, CT preferred. No relocation offered for this position. Bexorg is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Bexorg will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

Job Responsibilities: Creation of outbound certifications for all shipments based on customer requirements. Scan inbound certifications of raw materials and purchased parts and attach them to appropriate receipt records in Plex ERP. Creation of Visual Standards as assigned by the Quality Coordinator/Quality Management. Creation of Work Instructions/Work Process Instructions as assigned by the Quality Coordinator/Quality Management. Creation of Special Inspection Instruction Procedures (SIIP's) as assigned by the Quality Coordinator/Quality Management. Updating of QMS documents as assigned by the Quality Coordinator/Quality Management. Distribution of QMS documents electronically or any other means as assigned by Quality Coordinator/Quality Management. Any other tasks as assigned by the Quality Coordinator or Quality Management. Job Requirements: Mid-level manufacturing technical comprehension. General computer skills to support use of email, Microsoft Word, Excel and photo editing. Organization skills Basic understanding of Quality Management Systems ISO9001, etc. Self-Starter Ability to work in team environment

Apply Description The Kinsley Group is seeking a talented and motivated Data Scientist II to join our team. This role is critical in establishing robust data governance practices and laying the groundwork for leveraging artificial intelligence (AI) within our organization. The ideal candidate will have a strong understanding of data structures, data quality, and reporting, and will be passionate about building scalable and usable data solutions that enable advanced analytics and AI-driven solutions, recommendations, and insights. Key Responsibilities Data Architecture & Governance Design, implement, and maintain data governance frameworks to ensure data integrity, security, and compliance across all data sources. Develop and optimize data structures and pipelines to support high-quality reporting and analytics. Evaluate and improve the usability and accessibility of data for business and technical stakeholders. Collaborate with cross-functional teams to define data governance via data standards, policies, and best practices that enable future AI initiatives. Monitor and enhance the quality and accuracy of data outputs, proactively identifying and resolving issues. Develop documentation and training materials to support data literacy and governance across the organization. Ability to communicate complex analytical findings clearly to a variety of stakeholders. Manages initiatives efficiently, ensuring timely delivery and adherence to project scope and objectives. AI Foundational Solutions & Recommendations A key responsibility of this position is understanding essential workflows, decision-making processes, and pain points within business operations to identify targeted opportunities where AI can deliver meaningful value to both internal stakeholders and external clients. This includes recommending and implementing AI solutions-such as automating routine tasks for internal teams or enhancing customer support experiences for clients-that are central to driving operational efficiency and elevating the overall customer experience. Stay current with industry trends in data management, governance, and AI technologies. Work with operational teams to investigate integrating smart sensors, SCADA, ComApp, and IoT data from power generation and distribution assets into a central AI data ready platform. Capture and analyze energy consumption for AI solutions around production, and performance data to identify opportunities for efficiency improvements and predictive maintenance. Collaborate with teams to potentially develop AI-driven solutions for outage prediction, asset health monitoring, and demand response programs. Assist in data integration and quality assurance via AI for potential smart meter, distributed energy resource, and customer analytics projects. Skilled in designing and building voice and chatbot's to support our workforce. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. 2+ years of experience in data science, data engineering, or analytics roles. Strong knowledge of data governance principles, data architecture, and best practices. Experience working with relational and non-relational databases, data modeling, and ETL processes. Strong proficiency with SQL and data management platforms (e.g., Oracle, Microsoft SQL Server, Azure). Proficiency in at least one programming language such as Java, Python and/or R. Experience with data visualization and reporting tools (e.g., Power BI & Microsoft Fabric). Excellent communication and collaboration skills with the ability to work effectively with technical and non-technical teams to build and maintain strong relationships. Ability to work effectively with cross-functional teams and external partners to achieve common goals. Familiarity with AI and machine learning concepts is a plus. Shows creativity and innovation in problem-solving while understanding the necessary steps and planning to achieve results with artificial intelligence solutions. Possesses the ability to plan and execute strategies effectively to meet project goals and deadlines. Adapts to changing environments and requirements, demonstrating flexibility and resilience. If you are passionate about data governance, building strong data foundations, and enabling AI capabilities, we invite you to apply and help drive our data journey forward. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Brightstar is an innovative, forward-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best-in-class lottery operations, retail and digital solutions, and award-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit ************************* .Global Leader in Lottery Solutions | Brightstar LotteryDiscover Brightstar Lottery, the global leader in lottery innovation. Safe, secure, and engaging solutions that benefit communities and meet player needs. **Responsibilities** We are currently seeking a highly motivated, self-starter interested in pursuing a career in Product Management or Product Engineering to join our Product Management team as a part-time intern starting in early June through August 2026. Ability to extend internship into the following fall / spring semester as part-time. This position will support the Lottery Product Management team responsible for vision, strategy, and roadmap of the Data and Insights products. You will train with our team members to develop an understanding of Lottery industry and product management processes, tools, and practices. You will learn to uncover customer needs, translate these needs into key product requirements, and identify/develop solutions. In fact, you will have an opportunity to build products for Brightstar's internal use. **About the Team** This role will report directly to the Senior Product Manager of the Data and Insights group and have exposure to multiple business partners including engineering, marketing, sales, and more. You will have the opportunity to receive mentorship and foster relationships with members of the Product Management team of various experience levels and areas of expertise **Location** Providence or West Greenwich, RI. Remote candidates will be considered as well. **Responsibilities** Principal Activities and Responsibilities: + Work with Product Owners, assisting with migration project related tasks which could include requirements gathering, gap analysis, customer review sessions, and producing project artifacts such as FRDs and Product Descriptions. + Help organize and gather requirements for next release of products + Assist with continuous process improvement and complete other ad-hoc analysis, as needed + Participate in the weekly meetings for product management and engineering + Backlog setup including Jira item creation based on existing FRDs + Capability mapping **Qualifications** The desire to pursue a career in Product Management, Product Marketing, or Engineering + Proficient in MS Excel + Familiarity with Jira and Confluence is a plus + Strong attention to detail and comfort working with large volumes of data + Must be able to work 37.5 hours/week during the summer with possibility of extension into the fall / spring semester at a minimum of 10 hours/week + Currently enrolled in a degree program with courses in computer languages (Computer Science, Engineering, etc.) **Success Profile** - Leading Complexity - Leading People - Leading the Business - Leading Self \#LI-BK1 #LI-HYBRID At Brightstar, we consider a wide range of factors in determining compensation, including background, skills, experience, and work location. These factors can cause your compensation to vary. The estimated starting compensation for this role is $24.00. The actual pay offered may be higher or lower. The Company complies with all local pay requirements and collective bargaining agreements, where applicable. Base pay is one part of our Total Rewards program. Non-exempt roles are eligible for irregular discretionary bonuses. In addition, we offer employees a 401(k) Savings Plan with Company contributions, health, dental, and vision insurance, life, accident, and disability insurance, tuition reimbursement, paid time off, wellness programs, and identity theft insurance. Note: programs are subject to eligibility requirements. All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate. IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. IGT is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted.

Fair Haven Community Health Care For over 54 years, FHCHC has been an innovative and vibrant community health center, catering to multiple generations with over 165,000 office visits across 21 locations. Guided by a Board of Directors, most of whom are patients themselves, we take pride in being a healthcare leader dedicated to delivering high-quality, affordable medical and dental care to everyone, regardless of their insurance status or ability to pay. Our extensive range of primary and specialty care services, along with evidence-based programs, empowers patients to make informed choices about their health. As we expand our reach to underserved areas, our commitment to prioritizing patient needs remains unwavering. FHCHC's mission is to enhance the health and social well-being of the communities we serve through equitable, high-quality, and culturally responsive patient-centered care. This position is onsite commuting of New Haven, CT. Job purpose The Data Analyst II is responsible for gathering, organizing, analyzing and presenting data. The responsibilities include extracting data, maintaining databases and creating reports. The role also identifies trends and patterns in data sets and provides meaningful insights to inform and impact important business decisions that advance the mission of Fair Haven Community Health Care (FHCHC). Duties and responsibilities Reporting to the Data & Analytics Director, the Data Analyst II uses analytical skills and expertise in data processing to provide insightful data analysis for all organizational data needs and requirements. They are responsible for interpreting complex data sets, developing actionable insights, and creating detailed reports and dashboards to enhance decision-making and drive business performance. Typical duties include but are not limited to: Approves team workflow and processes documentation for the benefit of team and organizational data governance and contributes to the ongoing development of data dictionary, standards and training Creates and develops the processes of data collection, data analysis, and data review for quality improvement, grants, and other programs Designs, develops, and manages databases for quality and appropriateness of source data to support the creation, validation, and visualization of reports Ensures the consistency and maintainability of existing data assets by creating, maintaining, and enforcing standards/procedures for data management Fulfills ad-hoc requests from staff (e.g. scheduling reporting, changes to metrics, views, and updates to visualizations) Leads investigations (root cause analysis) and resolution of systems problems Maintains and improves data pipelines, queries, master datasets, and dashboards Maintains and manages strict adherence to all deadlines including reporting deadlines and timely completeness of documentation Oversees and develops the interfaces and systems FHCHC uses to store, display, transfer and report data; including but not limited to coding for data extraction from multiple databases and server combinations Partners with members of staff to promote the effective use of shared data Performs other necessary duties as required by FHCHC to achieve the goal of providing high quality services Recommends solutions with key stakeholders when data issues occur that are likely to impact operations and business outcomes Supports teams and committees working on quality improvement projects Works effectively with all levels within the organization and establishes strong relationships at all levels of FHCHC and community connect organizations Works in collaboration with internal and external stakeholders; providers, directors, department managers, vendors and others, to identify and meet the continuous data and business intelligence requirements of the organization Qualifications Bachelor's degree in business, computer science, data science, engineering, information systems and 5 years' experience are required. The selected candidate will have: Ability to work independently, make decisions and provide training Competence in data quality and data governance with complex healthcare data sets Demonstrated ability to understand, analyze, document, explain business processes and the data behind them Excellent data analysis and data management skills Exceptional communication, interpersonal, organizational and attention to detail skills Experience with a variety of software and online platforms (e.g. Adobe, Dropbox Sign, FileZilla, Power BI, Electronic Handbook, 340B ESP, Value Set Authority) Experience with data visualizations, demonstrating correlations, trends, forecast, etc. (e.g. Advanced Excel, Power BI, Tableau) Experience working with Electronic Health Records (EHR), population health software, medical claims, and other healthcare data and regulations Experience writing well-formed SQL queries for data reporting, as well as other data management tools (e.g. SQL Server, Tableau, Power BI, Advanced Excel) Must be flexible and adaptable to change in a fast-paced environment Superior skills in follow-through, self-directed work and independent problem solving Experience with Federally Qualified Health Centers and Uniform Data System (UDS), and with the Epic EHR system and familiarity with software engineering and coding languages (e.g. HTML, Python, R, C#, cloud software) in addition to SQL, is highly desirable. American with Disabilities Requirements: External and internal applicants, as well as position incumbents who become disabled, must be able to perform the essential job specific functions (listed within each job specific responsibility) either unaided or with the assistance of a reasonable accommodation to be determined by the organization on a case by case basis. Fair Haven Community Health Care is an Equal Opportunity Employer. FHCHC does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW AT CR we know there's more to testing cars than measuring how the rubber meets the road. In addition to testing 50 vehicles a year (driving them hundreds of thousands of miles), we also dig deep into the data--churing through reams of reliability and satisfaction surveys collected from our members, as well as external data, to supplement the analysis, evaluation and rating from our test drives. The information we share helps consumers make fully informed choices about the purchase and maintenance of their vehicles. The Automotive Data Analyst and Content Researcher will report to the Associate Director, Automotive Data Integration. In this position, you will oversee the collection, validation, and internal processes for the various auto vendor and CR survey and testing data. Working closely with other auto team members, you will apply your data management expertise to ensure that our auto data collection is consistent and our analysis is accurate. If you love data and all things automotive, we'd love to hear from you. This is an on-site position, based in Colchester, CT. This position is not eligible for relocation assistance or sponsorship. How You'll Make An Impact At CR, we test products and services so consumers can make informed decisions and use their buying power to help create a marketplace that puts them first. You'll be an integral part of our mission as you maintain our auto database of information and inform our team of the latest developments in the automotive market. On a daily basis, you may: Partner with Auto Test engineers and technicians to translate individual tests to ratings. Collaborate with Data Engineering to assure the database is optimized for the auto test and publish program. Ensure the Model Year Vehicle data is updated to reflect the latest information for on-line articles and reports. Identify and map various external and internal data feeds to provide comprehensive data for consumers and clients. Maintain quality and integrity of data in the Cars Database. Identify trends from our extensive automotive data and outside sources and submit concise reports with data and graphics. Utilize AI and data visualization tools for understanding and presenting large datasets and information. Follow automotive news and changes in industry and individual models. Help identify which new vehicles should be tested or updated. Work with and support the Program Leader, Auto Data Analytics to process survey data and to provide insights and data for articles, videos, and social media. Assist the Associate Director in assessing new data needs and identifying the best methods to capture and incorporate in the database as well as report mechanisms. Update written road tests for publishing on the Consumer Reports website. ABOUT YOU You'll Be Highly Rated If: You have the experience. You have at least 3-years of experience working in automotive data. You have the skills. You are proficient and have worked with Tableau, Python and SQL. You are data driven. You use data analysis, visualization and fundamentals to drive decisions and recommendations. You are a strong collaborator, able to partner with other stakeholders, including content and technology. You know the systems. You are comfortable with and proficient in Microsoft Office and Google Suite. You have a valid Driver's License. You'll Be One of Our Top Picks If: You've worked with emerging technologies. You are familiar with machine learning and AI. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $75K-$85K. It is anticipated that most qualified candidates will fall near the middle of this range.Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.