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At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures. THE ROLE The Data Science Lead Analyst will play a key role on our data science team, leveraging their experience to deliver impactful data-driven solutions for complex business challenges. With a foundation in data analysis and model development, you will work alongside a team of data scientists and business strategists, contributing to the development of data-driven solutions for business challenges. Your work will be user case oriented: you will take on responsibility for the end-to-end process of extracting insights from large datasets. You are expected to work collaboratively with cross-functional teams, as well as independently manage projects, to drive strategic decision-making and innovation. You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units. WHAT YOU WILL DO Design and implement advanced statistical models and machine learning algorithms to solve specific business problems. Interpret and analyze data from multiple sources to provide actionable insights and recommendations. Collaborate with business strategists to understand their needs and provide data-driven guidance. Take initiative in identifying opportunities for data analytics to add value to the business. Ensure data quality and integrity throughout all processes. Effectively communicate findings to stakeholders through visualization and presentations, translating complex data into clear business terms. Mentor Associate Data Scientists and contribute to their professional development. Stay up-to-date with the latest trends and technologies in data science and machine learning to bring fresh ideas to the team and to the organization. WHAT WE ARE LOOKING FOR Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Physics, or another quantitative discipline with 5-6 yrs experience, or Master's degree with 4 years of experience. Demonstrated proficiency in Python, SQL, and data visualization tools (such as Tableau, Power BI, or similar). Strong experience in cleaning, transforming, and visualizing large data sets. Proven ability to develop, test, and deploy predictive models and machine learning algorithms. Advanced understanding of a wide array of machine learning and statistical techniques, with a track record of choosing the right model for the right problem. Familiarity with big data technologies (such as Hadoop, Spark, or similar) and cloud computing services (AWS, Azure, GCP) is desirable. Strong analytical and quantitative problem-solving ability. Experience in effectively communicating complex analytical findings and conclusions to non-technical stakeholders, including the creation of clear and actionable reports. Demonstrated ability to work independently on complex projects with minimal supervision as well as collaboratively with a team. A history of driving projects to completion and contributing to the success of those projects. Ability to mentor and support Associate Data Scientists in their technical development. Commitment to continuous learning and staying current with industry trends and best practices in data science. #LI-JN1 #LI-HYBRID At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others. What we offer: Generous time-off provided: including "Responsible time off" for many roles, paid company holidays when the US Stock Exchange is closed, plus paid volunteer time Family Focus: Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leave Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributions Wellness Programs: Robust wellness webinars, employee assistance program, gym reimbursement through our medical plans, fitness center discounts and more Life & Disability Benefits: Company-paid basic life insurance and short-term disability Financial Benefits: 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programs MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance. MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.

Who are we, and what do we do? At Corteva Agriscience , you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Corteva AgriscienceTM is seeking students for full-time internships within our research and development organization in Indianapolis, IN or Johnston, Iowa. We offer students the opportunity to work closely with a senior scientist in an industrial setting, and the students will have extensive opportunities to network across the company. It is desirable that students have past practical experience in a research environment generating data and have relevant computer skills. Students are encouraged to be creative and take initiative, where appropriate, while working with their supervisor. Students are expected to always operate in a safe and efficient manner. Essential to this internship are interpersonal, organizational, communication, teamwork, and time management skills. What You’ll Do: Participate in all phases of research including planning, preparation, calibration, application, evaluation, and analysis with supervisor. Work in a safe manner and embody Corteva’s safety culture. Demonstrate independent and creative thinking by making novel observations, interpreting data, and drawing sound scientific conclusions. Present project reviews throughout the summer and a final poster before colleagues and peers. What Skills You Need: Internships are available to students that are currently pursuing a Bachelors, Masters, or Doctorate degree in a relevant discipline. Students must have completed at least two years of undergraduate work before the start of the internship. GPA of 3.0 or better Must be able to relocate to Indianapolis, IN or Johnston, Iowa for the duration of the internship. Must be able to work full-time (40 hours per week) for a 6 month period Questions for all Disciplines : What level of degree are you pursuing and in what discipline? When do you expect to graduate? Do you have any agricultural related experience? If so, what is it? Do you have any research experience? If so, in what disciplines? Please list scientific/technical organization memberships and leadership positions, if any. Please list scientific or academic awards, if any. Discipline Specifics: Computer Science / Data Science Students will work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics , geospatial analysis, and /or mathematical modeling. Students will e ngage with business users to gather requirements and use cases. Explore and implement AI capabilities within internal tools. Students will automate and improve admin processes (e.g., data quality checks, process automation). Students will p ilot machine learning use cases to improve efficiency. Students will work on data-related projects (e.g., chatbot improvements, dashboard building and enhancements). Student s may work with geographic information systems (GIS) to develop new data products and conduct assessments Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

We’re looking for a strategic, hands-on Director of Data to lead our enterprise-wide efforts across Analytics, Business Intelligence, and Data Science . This role will shape the future of data at Renuity, helping us harness data as a competitive advantage, from customer acquisition and marketing optimization to operational performance and workforce insights. You’ll build and lead a high-impact team, define data strategy in partnership with executive stakeholders, and architect scalable data solutions that drive real business outcomes. If you're passionate about connecting data to decisions and thrive in a high-growth environment, we want to talk. What You’ll Do: Strategic Leadership & Vision Define and execute long-term data strategy aligned with business and technology objectives. Serve as the enterprise data thought leader, partnering with C-level and business leaders to embed data-driven decision-making across the organization. Lead the Data as a Product mindset, aligning key KPIs and metrics with business leaders that help drive the organization forward. Help define and drive the master data strategy Establish data governance, quality, and compliance frameworks to ensure trusted data assets. Applying AI/ML towards solve complex but exiting business challenges Team & Capability Building Build and lead a high-performing team of analysts, data scientists, and BI engineers. Create career paths, development plans, and performance metrics for the data team. Foster a culture of curiosity, collaboration, and continuous learning. Data Science & Advanced Analytics Oversee the development and deployment of machine learning models and predictive analytics to support marketing, sales, operations, and customer engagement. Translate business challenges into analytical frameworks that drive insight and action. Business Intelligence & Reporting Standardize and scale enterprise dashboards, self-service BI tools, and executive reporting. Partner with cross-functional teams to define KPIs and ensure data accuracy, consistency, and usability. Data Architecture & Infrastructure Collaborate with engineering teams to build scalable data pipelines, architecture, and warehousing solutions (e.g., Snowflake, dbt, Fivetran). Optimize data infrastructure to enable fast, reliable access to insights and experimentation. What You’ll Bring: 10–12+ years of experience in data leadership roles spanning analytics, BI, and data science. Proven success building and scaling data teams in fast-paced, growth-stage or enterprise environments. Hands-on expertise with modern data stack tools (e.g., dbt, Snowflake, Looker/Tableau, Python, SQL). Experience with hyperscalers such as Azure, Google Strong understanding of statistical modeling, experimentation, and machine learning techniques. Executive presence and ability to influence at all levels of the organization. Experience supporting marketing attribution, sales performance, operations, and/or customer experience analytics preferred. About Us : Renuity is a national leader in the direct-to-consumer home improvement industry, dedicated to transforming spaces and enhancing lives. As one of the fastest-growing providers in the country, we operate under the Renuity brand and through a network of trusted regional companies—including Mad City Windows & Baths, Pacific Bath, FHIA Remodeling, Statewide Remodeling, MaxHome, Rite Window, and Closet America. Backed by private equity and fueled by an ambitious growth strategy, Renuity has expanded rapidly through strategic acquisitions. Today, we’re focused on unifying our brands, streamlining operations, and delivering exceptional service to homeowners nationwide. We’ve already helped hundreds of thousands of customers upgrade their homes with quality products and expert installation—at competitive prices. At Renuity, you’ll join a dynamic, fast-paced, and collaborative team where your work directly contributes to the company’s success. Our people work closely with executive leadership, embrace innovation, and drive real impact. Whether you’re in the field or at HQ, you’ll be part of shaping the future of home improvement—and building a career you can be proud of. To learn more, visit www.renuityhome.com . #RHB Renuity and its affiliates are committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact Humanresources@renuityhome.com. If you have a question regarding your application, please contact TA@renuityhome.com To access Renuity's Privacy Policy, please click here:

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage.As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role requires networking with experts, both academic and industry, to further the application of data science to business problems. Key Responsibilities: 25% Solution Development- Utilize advanced expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations 20% Project Management & Team Support- Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive 20% Business Collaboration- Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage 35% Technical Exploration & Development- Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Support development of cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Network with both academic and industry experts to further the application of data science to business problems Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has 0 Direct Reports and leads/manages projects Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience. 10+ years of experience in business intelligence and analytics Expertise in a modern scripting language (preferably Python) Expertise running queries against data (preferably with Google BigQuery or SQL) Advanced knowledge of Microsoft Office Suite Expertise with data visualization software (preferably Tableau) Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated mastery in predictive modeling, data mining and data analysis Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Cultivates Innovation: Creating new and better ways for the organization to be successful Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Persuades: Using compelling arguments to gain the support and commitment of others Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications The application window is anticipated to be closed on October 31, 2024.

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society's toughest challenges - from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone. The Team CZI and its Biohub Network supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing novel imaging technologies to map, measure and model complex biological systems Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases Harnessing the immune system for early detection, prevention, and treatment of disease Our work in science is focused on doing fundamental research to better understand human biology and building the tools and technology that move science forward to prevent disease and get to cures faster. Join us in accelerating science. The Opportunity At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation: Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations 10s of thousands of donor-matched DNA & RNA samples PB-scale static and dynamic imaging datasets TB-scale mass spectrometry datasets Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. As a Senior Staff Data Scientist, you'll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products. Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease. What You'll Do Define the technical strategy for a robust imaging data ecosystem and build data ingestion pipelines, define data formats, write validation tools, QC metrics, and analysis pipelines. Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance. Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team. Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem. What You'll Bring 10+ years of experience with large scale biological imaging data. Demonstrated delivery of multiple large biological data products. Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis. Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks Strong fundamentals in statistical reasoning and machine learning. Experience with biological data analysis and QC best practices Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a multidisciplinary environment (engineering, product, AI Research). Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,100. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Better Together As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. G2D2 is home to Eisai's Human Genetics team. Members of this team have the opportunity to perform foundational data science research that impacts Eisai's entire discovery and development portfolio across Eisai's worldwide discovery and clinical sites in the US, the UK, and Japan. The Computational Geneticist will be a key member of the Human Genetics team and will have specific responsibilities for accessing and analyzing array-based and next-generation sequencing DNA data from large population-based and clinical cohorts. They will be responsible for integrating these data with other molecular data, including next-generation RNA sequencing, large-scale proteomics, and epigenomics data, and to derive deep insights from these multimodal data to drive project and portfolio decision-making. In addition, they will provide and implement recommendations for novel advanced analytic approaches to improve experimental design and inform decision making using genomic data. While the focus is expected to be on impacting the discovery process, this position will also serve as a subject matter expert for advanced analytics using genetics and other molecular datatypes, providing expert scientific guidance to additionally impact translational science and clinical development. The Computational Geneticist will join an existing (and evolving) human genetics group at G2D2 and will encounter a corporate culture that is very motivated to apply human genetics and advanced analytical approaches to R&D at every level of the organization. This role is hybrid with a minimum of three days a week in our Cambridge, MA office (Tuesday, Wednesday, Thursday). Responsibilities include: Lead development and execution of computational plans in line with defined research problem statements within discovery and contribute to the human genetics team's effort to apply human genetics to impact program and portfolio decision-making across Eisai's global R&D sites, including target identification, target validation, biomarker discovery, and patient stratification strategies. Oversee internal data pipelines and resources for computational analyses in collaboration with internal/external teams Present analyses/results to relevant stakeholders in comprehensible and readily actionable formats Report scientific results in patents, publications, regulatory documents, and product-development reports as applicable Actively contribute in project teams, panels, technological platforms, and meetings; collaborate with other groups Work with the human genetics team to identify, initiate, and execute collaborations with academic, biotech, and other pharma partners leveraging machine learning and AI approaches to produce insights capable of impacting program and portfolio decision-making Interpret, integrate, adapt and present complex scientific findings to make recommendations for critical project decisions Scout emerging research and technology landscape related to own area to identify relevant new approaches/technologies, particularly in the areas of machine learning and AI, and present case for adoption within Eisai. Train and mentor teams on emerging scientific aspects and research processes/technologies Qualifications: Academic/PhD in computational or related life-science field with 3 plus years of post-doctoral experience in relevant technical field (industry or academia) Experience with programming languages (e.g. Java, Python, R); relational or other databases (e.g. Oracle, PostgreSQL, NoSQL); tools and databases (e.g. PLINK, coloc, ENCODE, ENSEMBL, etc); cloud services for storage and computing; commercial and public biological databases; high-density data types and relevant external resources Strong publication record in high-quality journals, references, and external presentations demonstrating relevant experience Proven performance in earlier role/comparable role Experience mentoring others in team Excellent oral and written communication skills and the ability to function as a productive member of cross-disciplinary teams is required. Excellent organizational and management skills are required. The ability to thrive in a flexible, goal-oriented environment is required. Skills:Communication & Cross-functional Influence, Critical Scientific Thinking, Data Sciences (Deep Expertise), Mentoring, Resource Management, Scientific Research & Econ Modeling Eisai Salary Transparency Language: The base salary range for the Sr Data Scientist, Computational Geneticist, Integrated Data Science, DHBL is from :140,900-184,900 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

NVIDIA is seeking a forward-thinking leader to spearhead our initiatives in the transformative field of accelerated computing, which is revolutionizing data science and data engineering. NVIDIA accelerated data science starts from a shared core of high-performance libraries that power a broad stack of higher-level technologies. These include the open source RAPIDS libraries for every data scientist, AI data platforms like NeMo Curator and Morpheus, and data processing engines to accelerate Apache Spark, Velox, and vector search. We're looking for a leader who sees the future of data science and data engineering and can span between the open source community and the needs of the world's largest enterprises. What you'll be doing: Lead and grow the existing team of 100+ engineers, data scientists, and managers Work with the open source community and other data platforms to help the world accelerate its data work with NVIDIA libraries Expand and build on our efforts to bridge the worlds of traditional data processing and emerging AI workloads Drive engineering and architectural excellence Partner closely with product management to ensure enterprise readiness and support What we need to see: MS, or PhD or equivalent experience in Computer Science, Computer Engineering, Mathematics, Physics, or related field. 10+ or more years of experience in leading/managing a software development team in agile environment as well as performance sensitive and/or real-time software and customer facing software products. 20+ or more years of overall experience in software design, including debugging, performance analysis, and testing designs. Executive experience in collaborating with partner ISVs and platforms. Highly proficient in data, cloud, data science and ideally accelerated compute (e.g. Spark, Kubernetes, Dask, Python ecosystem, and CUDA). Experience developing platforms or tools for developers. Track record of building high-performing teams and growing leaders. Excellent communication skills and the ability to lead multi-functional efforts. Deep understanding of how to build successful products in large-scale environments. Ways to stand out from the crowd: Ability to work well with open source communities and foster their growth. Experience with CUDA or other parallel programming systems. Strong understanding of high-performance microservices architectures. Expertise in deep learning, RAG and modern text search, embeddings, or similar AI technologies. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hard-working and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing (HPC) and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. NVIDIA is committed to simplifying, unifying, and accelerating data science for the open-source community. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 480,000 USD - 690,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 12, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Customer Intelligence and AI (CIAI) team is a specialized Data Science group within Robinhood's Corporate Strategy organization. Our mission is to unlock deeper insights into customer behaviors, satisfaction, and market performance through Net Promoter Score (NPS), benchmarking, and advanced analytics. We apply data science, machine learning, and AI to improve customer experiences, drive operational efficiency, and inform company-wide strategy. We partner with teams across Robinhood-including Product, Data, Engineering, Marketing, Finance, and Research. Our work powers strategic decision-making, enhances operational performance, and integrates into data science and AI pipelines across the company. As a Data Scientist, Analytics on the CIAI team, you will strengthen and expand Robinhood's NPS and benchmarking capabilities. This includes designing and improving measurement frameworks, conducting deep-dive analyses, and shaping how Robinhood tracks and improves customer experience relative to competitors. You'll contribute to both recurring programs and new technical projects that advance our ability to measure company performance and improve decision-making efficiently. The ideal candidate is able to wear both technical and strategic hats-bringing strong analytical and programming skills, paired with curiosity and business acumen. You should feel comfortable moving between deep technical work (statistics, modeling, programming) and business impact (generating insights, influencing decisions, driving change). This role is based in our Menlo Park, CA, New York, NY or Chicago, IL offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do Strengthen Robinhood's NPS programs by supporting the full stack of data science work-from data pipelines and analytics to dashboarding, reporting, and deep-dive analysis. Drive innovation in the NPS space, including experimentation with AI- and LLM-based approaches to customer intelligence and feedback analysis. Build and maintain scalable data processes to collect, manage, and synthesize information from a wide range of internal and external sources. Support competitive benchmarking efforts, providing technical expertise for competitive intelligence and contextualizing Robinhood's performance relative to peers. Advocate for customers by helping establish best practices in how we measure, interpret, and act on customer feedback. What you bring 2-5 years of experience in an analytics or data science role, ideally blending quantitative analysis with business impact (e.g., roles in technology, financial services, consulting, or research). Degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related field. Proficiency in SQL and Python, with hands-on experience in data wrangling, visualization, and analysis. Familiarity with statistical modeling techniques; exposure to text analytics, natural language processing, or AI/LLM applications is a plus. Proven ability to translate complex data into clear, actionable insights that influence business decisions. Excellent attention to detail and ability to manage priorities and deadlines across multiple projects. Ownership mentality and self-starter attitude, with creativity and resourcefulness to solve ambiguous problems and drive outcomes. Excellent communication skills, with the ability to engage audiences across technical and non-technical teams and influence decision-making at multiple levels. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $132,000-$155,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $116,000-$136,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $103,000-$121,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. Description This is a paid 12-month program for graduate students who are interested in working at the intersection of technology, data science, and healthcare. The program is designed for all students, and again this year we encourage students who have been historically underrepresented in this field to explore the program, which is a pathway towards full-time employment within Verily. This includes but is not limited to: Black/African-American, Latinx/Hispanic, Native American, students with disabilities, veterans, and non-binary people. As a PhD Research Scholar on the Clinical AI team at Verily, you will contribute to our mission of transforming healthcare through scalable, real-world data (RWD) curation and AI-driven tools. You'll work on key problems involving electronic health records (EHRs), clinical narratives, and foundational models to help us build high-quality longitudinal datasets and intelligent systems that power precision health at scale. This internship provides the opportunity to lead independent research, publish findings, and work collaboratively with engineering, clinical, and product teams. Join us for a unique 6-month OR 12-month Research Scholar program starting in 2025. Responsibilities Collaborate with cross-functional teams to develop and refine machine learning models using real-world healthcare data. Design and prototype NLP/LLM solutions to extract insights from unstructured clinical text. Support development of foundational datasets through multi-source data integration and clinical concept abstraction. Conduct literature reviews and comparative evaluations to inform model design and healthcare applications. Communicate progress through internal presentations and, where applicable, contribute to academic publications. Qualifications Minimum Qualifications: Currently pursuing a PhD in Computer Science, Biomedical Informatics, Statistics, Data Science, or a related technical field. 2+ years of experience applying machine learning or NLP to clinical or real-world healthcare data. Strong programming skills in Python and experience with ML/NLP frameworks such as TensorFlow, PyTorch, or HuggingFace. Experience working with electronic health records (EHRs), clinical notes, or medical ontologies. Preferred Qualifications: Familiarity with large language models (LLMs), including prompting, fine-tuning, or retrieval-augmented generation (RAG). Knowledge of medical terminologies (e.g., SNOMED CT, ICD-10, RxNorm) and ontological structuring. Experience developing production-ready ML pipelines or tools in healthcare or life sciences. Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders. Interest in translating research into real-world, scalable applications. The US hourly range for this Research Scholar position is $53-$63 + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Team Leader of Data Sciences & Professional Services Location: Fully remote from any US location What your impact will be: Lead and execute Professional Services engagements, including data analysis, process improvement consulting, and technical implementation projects. Build, mentor, and lead a team of Data Integration Specialists, Business Analysts, and Data Visualizations Experts, establishing SOPs and performance metrics. Design, develop, and deploy data processing pipelines and analytics modules to support client reporting, implement data warehouses, dashboards, and analytics solutions for client reporting and decision-making needs. Manage a portfolio of client projects, ensuring on-time delivery, quality standards, and appropriate forecasting. Serve as the primary technical liaison between clients and internal development teams, translating business requirements into analytic specifications. Partner with the Senior Manager, Customer Success to develop and deliver training programs and best practices workshops that drive client adoption and long-term engagement. Lead cross-agency and multi-stakeholder projects, ensuring alignment between technical and business objectives. Collaborate cross-functionally to identify process inefficiencies, recommend data-driven improvements, and implement solutions. Report project status, risks, and successes to senior project manager, executive leadership and stakeholders. What we are looking for: 3-7 years of professional experience in data science, analytics, or technical consulting roles. Demonstrated success leading complex data integration projects and delivering measurable process improvements. Strong proficiency in SQL and experience with relational databases Experience with data analytics tools (Stata, SQL, R, Python), data visualization platforms (Power BI, AWS Quick Sight, Tableau, Qlik), and project management tools (Smartsheet, Visio). Demonstrated ability to manage client projects, including scoping, scheduling, and stakeholder communication. Excellent strategic thinking, analytical problem-solving, and verbal/written communication skills. Ability to work collaboratively and independently in a fast-paced, remote environment. Strong verbal and written communication skills with proven ability to translate technical concepts for non-technical audiences. Understanding data integration concepts, ETL processes, and data warehouse development. What will help you stand out: Passion for Education and Education Technology, with direct experience in government, public sector consulting or life sciences. Experience developing and standardizing analysis packages for cross-functional teams. Passion for translating complex technical concepts for non-technical audiences. Experience building interagency data lakes and establishing data standardization practices across systems. Ability to serve as liaison between technical teams and executive leadership, providing solutions for complex organizational decisions. Demonstrated expertise in developing visual reports and dashboards that highlight key metrics for decision-makers. Education & Certifications Master's degree in quantitative field highly preferred. Relevant certifications in data science, machine learning, PMP or relevant project management certifications highly preferred. Travel Requirements Occasional travel may be required About Harris Computer: Harris provides mission critical software solutions for the Public Sector, Healthcare, Utilities and Private Sector verticals throughout North America, Europe, Asia and Australia. Working for Harris is the perfect opportunity to fulfill your professional goals as well as achieve your personal dreams! Our employees enjoy a casual work environment that offers comfort while providing superior service to our customers. We offer a comprehensive benefit package as well as other additional "Perks"! We empower our employees to make a difference We have an award-winning culture We offer opportunity to learn We are financially strong and we are owned by the largest software company in Canada (CSI) We have fun! Follow us on social media to learn more about our company values, culture and initiatives! Instagram: @weareharris LinkedIn: Harris Computer

Must be able to work onsite at ABC Supply Co, National Support Center in Beloit, WI in a hybrid arrangement. ABC Supply is North America's largest wholesale distributor of exterior and interior building products. ABC Supply is proud to be an employee-first company. In fact, we have won the Gallup Great Workplace Award every year since its inception in 2007, and Glassdoor has named us one of the best places to work in the country. Be part of a company that recognizes your talents, rewards your efforts, and helps you reach your full potential. At ABC Supply, we have YOUR future covered. Summary: As the Manager of Data Science, you will be responsible for leading and managing our data science team, driving data-driven initiatives, and contributing to the overall data strategy of ABC Supply Co. You will collaborate closely with enterprise analytics and business teams to identify business challenges, develop innovative data science solutions, and provide actionable insights. Your role will be instrumental in shaping our data science capabilities and ensuring the successful execution of analytics projects. Essential Duties and Responsibilities: Lead and mentor a team of data scientists, providing guidance, technical expertise, and support to ensure the successful execution of projects. Foster a collaborative and innovative team environment. Oversee, in conjunction with Product Owners, end-to-end data science projects, from problem definition and data exploration to model development, validation, and deployment. Apply advanced statistical and machine learning techniques to analyze complex datasets, extract meaningful patterns, and develop predictive and prescriptive models. Contribute to the development of the company's data strategy by identifying opportunities to leverage data science to enhance business processes, optimize operations, and drive revenue growth. Collaborate with key stakeholders from various departments within the company, including the National Support Centers, Field Operations, and Branch Operations to understand their data needs and deliver solutions to meet business objectives. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Evaluate and implement new tools, algorithms, and frameworks to enhance the team's capabilities. Ensure the team creates and maintains documentation using appropriate tools, including wikis for narrative documentation and version-controlled repositories for technical documentation. Operate in agile environment intended to facilitate iterative development and continuous delivery. Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms, including voice and video calls, chat, and email Qualifications and Skills: 5+ years of experience in data science, with a proven track record of leading successful data science projects and managing teams Significant experience extracting data from databases or other sources with SQL Significant experience with at least one of Python or R, and common packages used for data wrangling (e.g. pandas, tidyverse), modeling (e.g. scikitlearn, caret/tidymodels), and data visualization (e.g. seaborn, ggplot2) Significant experience in at least one "non-wrangling" data science domain, e.g. optimization, clustering/segmentation, supervised learning, time-series forecasting Significant experience with descriptive and inferential statistics, e.g. hypothesis testing, confidence intervals, correlations, etc. Significant experience with at least one enterprise data visualization tool (Tableau preferred) Experience with at least one cloud data platform (Azure and Snowflake preferred) This role is likely best suited toward candidates with a master's degree and 7-10 years of related experience. Benefits may include: Health, dental, and vision coverage - eligible after 60 days, low out of pocket 401(k) with generous company match - eligible after 60 days, immediately vested Employer paid employee assistance program Employer paid short term and long term disability Employer paid life insurance Flex spending Paid vacation Paid sick days Paid holidays Equal Opportunity Employer / Drug Free Workplace ABC Supply values diversity and we actively encourage women, minorities, and veterans to apply.

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community! Meijer Rewards Weekly pay Scheduling flexibility Paid parental leave Paid education assistance Team member discount Development programs for advancement and career growth Please review the job profile below and apply today! Meijer offers an 11-week internship program that challenges interns to deliver innovative solutions to real projects that impact the business. Throughout the course of the internship experience, we deliver diverse personal and professional development opportunities that further develop skillsets that can be implemented both during and after the program. The internship program will allow for interaction with other interns and Meijer senior leaders. The internship program includes: Challenging and impactful projects Final presentations delivered to senior executives Executive speaker series Professional development and training opportunities Networking and community events Events highlighting key areas of the business What you will be doing as an IT Intern: Meijer is seeking candidates for an Information Technology internship opportunity in our Data Science & Advanced Analytics area. Join our program to get experience in your field while also learning more about the retail industry and the breadth of career opportunities that support the customer shopping experiences. The Data Science & Advanced Analytics team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Our Interns will have the opportunity to work directly with teams with product development and business teams to define, develop and implement a data science based solution. Over the course of the summer the intern will have the opportunity to work with the latest cloud technology including machine learning and artificial intelligence platforms. Qualifications: Progress toward a Bachelor's or Master's Degree - Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field. Customer focused -- dedicated to meeting the expectations of internal and external customers Relationship skills -- can create positive working relationships with customers, team members, leadership, and other internal and external constituencies. Communication skills -- conveys the right information in writing and verbally. Preferred Skills, Knowledge and Abilities (will vary depending on specific project requirements): Programming Languages: Proficiency in SQL, Python, R, and cloud-based platforms like Databricks. Analytical Skills: Expertise in data mining, statistical modeling, and machine learning. Reporting and Visualization Tools: Experience with Excel, PowerPoint, Tableau, Power BI, and similar tools. Project Management: Familiarity with Agile methodology and project management principles and practices. Possible career path opportunities: Data and Analytics Development Program Data Scientist

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Lead AI Innovation Lead - Data Science Lab Overview Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. Key Responsibilities Include: Leadership & Strategy Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives. Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence. Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption. Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner. Innovation & Research Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies. Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches. Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units. Create patentable technologies and methodologies that drive long-term innovation. AI/ML Development Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases. Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI. Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs. Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing. Operational Excellence Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment. Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management. Actively participate in proof-of-concept evaluations of new data, software, and technologies. Collaboration & Integration Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions. Contribute to the standardization of data science tools, processes, and best practices across the enterprise. Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Experience leading team of Data Scientist of four or more Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA Remote Candidates who can travel up to 20% of the time to our New York office will be considered. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

FACULTY POSITION emlyon business school invites applications for a full-time faculty position in Data science, open at the Associate Professor level, to begin in September 2026. We are looking to recruit either: A candidate with a strong academic research profile, capable of publishing in top-tier journals and contributing to the school's international research visibility; or A candidate with a strong pedagogical profile, experienced in action learning, experiential education, and real-world project-based teaching; or A hybrid profile, demonstrating excellence in both dimensions. This position is part of emlyon's broader strategic ambition to combine academic excellence with impactful, hands-on learning that is deeply connected to the business world and societal challenges. YOUR ROLE AT EMLYON The selected candidate will join the Department (*) of ODAI and the QUANT Research Centre ( https://aim.em-lyon.com/quant/ ), contributing to: Cutting-edge research in their area of expertise; The development and delivery of innovative, action-based learning experiences, closely tied to the professional ecosystem (corporates, startups, NGOs, etc.). Teaching responsibilities include undergraduate (BBA), graduate (Programme Grande École), and master's level programs. Most courses will be taught on the Lyon campus, with possible sessions on other emlyon campuses in France or internationally. Teaching topics are focused on Applied mathematics and statistics, Data science approaches, tools and methods, including data visualization. CANDIDATE PROFILES - We Are Open to Different Strengths We are open to diverse academic trajectories, and encourage applications from candidates who correspond to one of the following: Research-Focused Profile Ph.D. in data science, statistics or a related discipline Proven publication record (or high potential) in top-tier journals (e.g., FT list) Ability to supervise doctoral students and collaborate on funded research projects Interest in pedagogical innovation and contribution to program development Teaching-Oriented Profile Experience in project-based pedagogy, live business cases, corporate challenges, or learning-by-doing models Strong connections with business or institutional partners Ability to design and coordinate courses with a high level of engagement and applied learning Willingness to contribute to the strategic positioning of action learning within the school Hybrid Profile Balanced expertise in both research and pedagogical innovation Ability to create synergies between research, teaching, and practice Interest in making academic knowledge actionable in the classroom and beyond Additional Requirements Desire to work in a collaborative, international environment Capacity for institutional service (program management, curriculum design, external representation) Fluency in English required; knowledge of French is a plus but not mandatory Willingness to relocate to Lyon or surrounding area (relocation support provided) The candidate will be expected to contribute to and will be regularly evaluated based on three areas of activities: (1) research performance, (2) teaching and student supervision, and (3) institutional service (e.g., administration, service in committees, representation of the school in the media and events). We strongly encourage people of all backgrounds (gender, ethnic background, nationality) to apply. Fluency and teaching experience in English is required. French skills are a plus. The selected candidate is expected to be based in Lyon or nearby area. emlyon has set-up a relocation policy to support the moving process. Salary and conditions are competitive and will be commensurate with qualifications and experience. THE SCHOOL Founded in 1872, emlyon business school is one of the oldest business schools in Europe. It belongs to the top 1% of business schools worldwide recognized by the triple accreditation: EQUIS, AACSB, and AMBA. emlyon business school welcomes 9,260 students from 130 nationalities across its four campuses in Lyon, Shanghai, Paris, and Mumbai. The School relies on a Faculty of 174 international professors and researchers, as well as a network of 220 academic partners, to deliver top-quality trainings recognized in the world's best rankings. It boasts a community of 48,000 alumni. As a Mission-driven company since 2021, emlyon business school cultivates the ability to drive change in resonance with the world by placing the hybridization of skills with social and environmental responsibility at the core of its training programs, supported by teaching methods that combine action and thinking. emlyon has endorsed the European Charter for researchers and is awarded HR excellence in research by the European Commission. The HR Strategy for Researchers (HRS4R) is available at the following link: https://em-lyon.com/en/faculty-and-research/hr-strategy-for-researchers THE ENVIRONMENT emlyon business school is at the center of a vibrant ecosystem of large universities with excellent research teams in engineering, computer science, natural sciences, social sciences, and the humanities (see: https://www.lyoncampus.com/en/welcome/lyon-a-city-of-innovation ) Lyon is the second largest city in France, with a long entrepreneurship tradition and a solid digital industry. Further information About emlyon business school: http://www.em-lyon.com/en/ THE APPLICATION SHOULD CONSIST OF: A cover letter including the motivation to join emlyon business school An up-to-date curriculum vitae A research statement A teaching statement (with teaching evaluations, where available) A list of papers under review or in progress Two references/names with contact information Possible questions about the position can be addressed to Professor Benoit Loeillet, Head of the ODAI department and chair of the recruitment committee at emlyon business school: loeillet@em-lyon.com All application materials should be submitted in English via this website page. The application materials will not be returned. RECRUITMENT PROCESS emlyon business school complies with the Open, Transparent and Merit-based Recruitment principles as stated in the European Code of Conduct for the recruitment of researchers. The selection committee is appointed by the Head of department and composed of three to eight professors, ensuring a balanced representation of gender, national origin, and professor grades. Pre-selection step: the selection committee reviews all the applications to short-list the candidates who meet the most criteria as described in the candidate's characteristics. Short-listed candidates are invited to a recruitment day (held by videoconference in most cases) with a) a job talk presentation b) one-on-one interviews with committee members. Each permanent professor attending the job talk completes an assessment grid, and the results are aggregated to identify the top one and top two applicants. Finalists are interviewed by the Dean for Faculty & Research and/or the Associate Dean for Research. The final decision is communicated by the Dean for Faculty & Research. SUBMISSION DEADLINE: 1st December 2025 emlyon reserves the right to consider applications submitted after the deadline. ------------------------------------------------------------------------------ (*) The ODAI (Operations, Data & AI) department is home of 17 researchers with diverse backgrounds and interests in decision making and data science, including AI. The ODAI department strives for high quality research, which is reflected in its publication record in top level journals. Close links with different types of organizations provide opportunities for research and engaged scholarship. The department develops and offers to many programs at the school courses that include (not exhaustively) Operations Management, decision aid-technics, data analysis, and applied AI related methods. Members often work conjointly on designing and updating the content and offered teaching approaches and experiences.

Carrier Global Corporation, a global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier. Role Purpose: The successful candidate will have ownership of driving critical initiatives for analytics and data products, interfacing with our leadership team to align priorities, while providing guidance to the internal teams on analytics strategy and delivery. Additionally, the candidate will deliver end-to-end data and analytics solutions that will scale and empower our users to deliver on Carriers goals and mission. Ideal Candidate will be within a commutable distance of Carrier's office in Palm Beach Gardens, FL or Carrier's office in Atlanta, GA. Role Responsibilities: Define, develop, and maintain the product roadmap for analytics data products in alignment with business goals. Collaborate with stakeholders to gather requirements, define use cases, and prioritize features to maximize value. Act as a liaison between business and technical teams, translating business needs into technical solutions. Work closely with data engineers, data scientists, and BI developers to ensure accurate implementation of analytics solutions. Drive the integration of data analytics solutions into business processes, ensuring scalability and reliability. Monitor and evaluate product performance using KPIs, user feedback, and business impact metrics. Own the backlog for analytics and data-related products, ensuring that user stories are well-defined, prioritized, and executed efficiently. Basic Qualifications: Bachelors Degree 7+ years of experience in analytics, data, statistics, Machine Learning, and/or AI delivery roles Preferred Qualifications: Experience working with cloud-based data platforms such as AWS, Snowflake. Proficiency in data visualization tools (ex. Power BI) and SQL. Experience at large companies with complex data landscapes and scale. Experience delivering scalable analytics solutions, ideation through deployment. Experience leading teams and managing individual contributors. Data warehousing and data lake experience. Strong background in enterprise data and technology principles and best practices. #LI-Onsite RSRCAR Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice