Auto-apply to these data science jobs

Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio's operations in marketing, sales, post-sales, and product development. In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions. You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses. You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact. Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions! What you'll work on: Define and implement Clio's data science strategy that aligns with Clio's business objectives, including revenue growth, customer retention, and operational efficiency Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+) Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting About you: Graduate degree in Computer Science, Engineering, Statistics or a related field. 10+ years extensive experience building and scaling a data science function in a high-growth environment 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning Experience reporting and presenting to senior business stakeholders Experience leading go-to-market initiatives and partnering with product development teams Experience with putting data science solutions in production and maintaining them Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences Bonus points for: High level of business acumen obtained through professional experience or certification MBA, CFA, PMM Experience in SaaS or legal industry Experience with unstructured data and graph data structures What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year. EAP benefits for you and household members, including counseling and online resources 401k matching and Child Education Savings Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $240,700 to $300,800 to $360,900 USD. Please note there is a separate band for those in the San Francisco / Bay Area. For those outside the United States, there are a separate set of salary bands for other regions.. In addition, this role is eligible for variable pay that is based on company performance, with actual payout amounts calculated and paid on a quarterly basis. We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. The Head of Data Science & AI at Global Payments is a transformative leadership position responsible for refining and scaling the company's data science and artificial intelligence (AI) function from the ground up. This leader will architect and deliver an AI-first ecosystem that integrates generative AI, machine learning, and orchestration to drive business value globally. The role encompasses strategy, platform development, talent acquisition, and the operationalization of AI solutions-balancing build, buy, and co-create approaches with technology partners. The Head of Data Science & AI will collaborate closely with business leaders to incubate, scale, and systematize use cases, ensuring that data-driven innovation is embedded across the organization. Key Responsibilities: ● Build & Lead the Data Science Organization ○ Refine and scale a world-class data science and AI function, including recruiting, mentoring, and developing a multidisciplinary team of data scientists, ML engineers, platform engineers, and product managers while fostering a culture of innovation and experimentation. ○ Define the vision, strategy, and roadmap for data science and AI initiatives aligned with Global Payments' business objectives. ● Platform Strategy & Delivery ○ Architect and oversee the development of holistic AI platforms/solutions that leverage data science, advanced analytics, machine learning, generative AI, and automation. ○ Evaluate and implement leading data science and AI platforms to accelerate model development, deployment, and monitoring. ○ Build robust data pipelines, feature engineering workflows, and model management infrastructure to support scalable, production-grade AI solutions ● GenAI Strategy: Build, Buy, Co-Create ○ Develop and execute a hybrid GenAI strategy, leveraging internal development, third-party solutions, and co-creation with strategic partners. ○ Drive the adoption of GenAI technologies, integrating them into existing products and creating new AI-powered offerings. ● Business Partnership & Use Case Incubation ○ Establish an operating model to engage business units, incubate high-impact AI use cases, and operationalize solutions at scale. ○ Define and track success metrics for AI initiatives, ensuring measurable business outcomes and ROI. ○ Champion data-driven decision-making and embed analytics into business processes. ● Governance, Security & Compliance ○ Partner with Data and AI Governance teams to ensure all data science and AI initiatives adhere to industry standards for data privacy, security, and regulatory compliance. ● Thought Leadership & External Engagement ○ Represent Global Payments in external forums, building relationships with technology partners, research institutions, and the broader AI community. ○ Stay abreast of emerging trends in AI, ML, and GenAI, and translate them into actionable strategies for the business. Required Experience & Skills: ● 10+ years' leadership in data science, AI/ML, and analytics within fintech, payments, or related sectors. ● Proven success building and scaling global data science teams and platforms. ● Deep expertise in machine learning, generative AI, feature engineering, model design, MLOps, and cloud-based AI infrastructure. ● Skilled at integrating data science applications into software products and working with data at scale and velocity. ● Strong ability to translate complex technical concepts into business value. ● Exceptional stakeholder management, communication, and influencing skills. ● Track record of scaling high-impact AI use cases through buy/build strategies. ● Effective player-coach: hands-on problem solver and team facilitator. ● Experienced in attracting, developing, and retaining top talent. ● Dynamic, forward-thinking leader with a bias for action, experimentation, and rapid execution. Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpay.com.

SUMMARY :  The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the formulation and execution of technology solutions. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Collect, preprocess, and analyze large datasets to identify patterns and features. Develop and apply machine learning algorithms to improve diagnosis accuracy and reduce false positives. Work with cross-functional teams, including radiologists, medical professionals, and software engineers, to develop and test new algorithms and models. Design and develop software tools and frameworks to automate the processing and analysis of medical images. Implement deep learning architectures for image analysis and classification tasks. Participate in the design and implementation of clinical studies to evaluate the performance of developed algorithms and models. Ensure that developed models and algorithms meet regulatory and quality standards Keep up-to-date with the latest trends and technologies in the field of medical imaging and data science. REQUIRED EDUCATION AND EXPERIENCE 5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software Experience in developing with C++ Knowledge of DICOM development and troubleshooting experience Prior experience developing healthcare components (PACS, VNA, RIS) and workflows Experience with C++, C#, Python, machine learning B.S. in Computer Science or related field. An M.S. or PhD is a plus     Powered by JazzHR

COMPANY Our client is a world leading manufacturing and distribution organization that creates innovative, high performance industrial surfaces. The company has been in business for over 60 years and is headquartered in Austin, Texas. It manufactures and distributes engineered surface options for use in furniture, office and retail spaces, countertops, worktops and other applications. They do business in more than 90 countries.   POSITION SUMMARY We are looking for a Data Science Architect (Digital Marketing) who will work as a team member of the Global Digital Services team to lead, execute, and establish the data, analytics, and customer integration platforms that empower the marketing function to engage with, gain holistic insights into, and perform analysis related to customer perception, preferences, and behavior, to drive marketing qualified leads, and revenue outcomes. The ideal candidate will be adept at linking traditional (structured data) as well as new (unstructured) data types related to audiences and customers and establishing the customer data integration framework. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms. They must have a proven ability to articulate potential business results with their databased analysis, dashboards and insights; and must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions available in data sets and working with stakeholders to improve business outcomes. This person must have strong technical, functional, project management, and communication skills.   KEY ROLE & RESPONSIBILITIES Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Understand and drive organizational change management to enable user adoption. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. This would also involve tagging, aggregating, segmenting, trending the data to transform it into reports and dashboards. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Establish the customer data integration framework / unifying customer data from different structured and unstructured sources using the tools provided by Salesforce/Adobe/Snowflake and the likes Structured: CRM, online registrations, email campaigns, B2B, other lists Unstructured: social media, consumer reviews/blogs, forums, user behavior etc. Develop data models and AI and ML algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, effective lead generation and other business outcomes. Develop company A/B testing framework and test model quality. Collaboration with vendors, system integrators, on-shore/off-shore partners, etc. Coordinate with different functional teams to implement models, monitor outcomes, and develop processes and tools to monitor and analyze model performance and data accuracy.   KNOWLEDGE, SKILLS & ABILITIES Strong problem solving skills with an emphasis on product development. Excellent written and verbal communication skills for coordinating across teams. Experience using statistical computer languages to manipulate data and draw insights from large data sets. Familiarity with marketing automation tools like Adobe Marketo or Salesforce Marketing Cloud. Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks. Familiarity with integrations between systems for key data elements using web services or point-to-point. Knowledge of Scrum and Agile methodology, a plus.   REQUIRED EDUCATION & EXPERIENCE Education: Bachelor Degree Required Degree in Statistics, Mathematics, Computer Science or another quantitative field Experience: 5-7 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Experience with marketing automation tools like Adobe Marketo/Adobe Experience Cloud or Salesforce Marketing Cloud/Salesforce Pardot or similar. Knowledge and experience in statistical and data mining techniques. Experience querying databases and using statistical computer languages like Python. Experience analyzing data from 3rd party providers: Google Analytics, Adwords, Social media portals, Insights, etc. Experience with data query tools like MySQL Experience visualizing/presenting data for stakeholders. Working knowledge of AI & ML algorithms, and tools such as SageMaker Powered by JazzHR

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.   Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science  Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas.   Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets.   Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required.   Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.   At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.   Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science  Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas.   Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets.   Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required.   Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.   At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management 20% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has Direct Reports & manages programs Travel Requirements: Typically requires overnight travel 5% to 20% 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: 9+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Experience managing and growing team members in a professional setting 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: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization 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 Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives 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 Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours We are looking for a Lead Data Science Engineer to join our Sportsbook Reinvestment team, where we focus on understanding and optimizing how players engage with our Online Sportsbook products over time. As a Lead Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. What you'll do as a Lead Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Sportsbook product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Experience leading and coaching other data scientists Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 140,800.00 USD - 176,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates 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 pay range and how that was determined during the hiring process. 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.

Job Description We are seeking a collaborative and experienced Associate Dean to support the academic and administrative leadership of the School. Reporting directly to the Dean, this role plays a critical part in advancing our teaching, research, and student success mission. The Associate Dean works closely with faculty, staff, and program directors to support curriculum development, faculty affairs, student advising, and school operations. This position also serves as a key liaison with university offices and represents the School when the Dean is unavailable. Key Responsibilities: Support faculty hiring, onboarding, development, and mentoring. Oversee curriculum processes, course scheduling, and program support. Lead student success initiatives, including advising, retention, and graduation review. Manage staff coordination, lab operations, and administrative support. Assist with strategic planning, budget planning, and accreditation efforts. Teach up to two courses per year. The ideal candidate will have strong leadership skills, experience in academic administration, and a passion for student-centered education. Minimum Requirements: Doctoral degree or equivalent terminal degree in Computer Science, Cybersecurity, Applied Mathematics, Mathematics, Data Science, Information Technology, or Education with a strong quantitative or computing focus, or a closely related field. Exceptional candidates with an ABD (All But Dissertation) status or a relevant Master's degree plus significant teaching or research experience will also be considered. 3+ years of administrative, leadership, or program management experience in higher education, government, nonprofit, or industry settings-preferably in roles involving curriculum oversight, faculty or staff management, or academic program coordination. 3+ years of teaching or instructional experience in a related discipline. This may include university teaching (adjunct, lecturer, or tenure-track), workforce training, curriculum development, online education, or professional workshops. Comprehensive knowledge and understanding of higher education and its challenges and opportunities Experience in serving students, management, and leadership Established record as an exceptional teacher and scholar or comparable professional achievement meriting the rank of an associate or full professor in an appropriate discipline. 3+ years academic administration experience in technical management fields Record of commitment to inclusive excellence. Preferred Requirements: Doctoral degree in Computer Science, Applied Mathematics, Mathematics, Data Science, Cybersecurity, Information Technology or Education. 5-8 years of experience in academic or program leadership within a university or equivalent organization. Experience in faculty supervision, accreditation processes, strategic planning, or cross-functional coordination is a plus. 5-8 years of teaching experience, ideally in higher education. Candidates with demonstrated instructional excellence, curriculum development, or mentorship in applied or interdisciplinary fields are strongly encouraged. Multidisciplinary/inter-disciplinary education Established record of working across academic or disciplinary units and programs Demonstrated knowledge of assessment and accreditation standards (ABET, NECHE, etc.) Demonstrated leadership, management, and time-management skills Demonstrated ability to work independently with professional discretion and judgment Demonstrated support for traditional and emergent technologies and the development of innovative, future-oriented curricula Strong organizational skills to balance multiple and simultaneous priorities Interest in student, faculty and staff well-being/collegiality Interpersonal skills that indicate a high level of professionalism, initiative, resourcefulness, and personal accountability We value diverse career paths and encourage applicants from industry, government, or interdisciplinary academic backgrounds who demonstrate commitment to teaching, innovation, and student success. Candidates who bring experience in inclusive pedagogy, emerging technologies, or cross-disciplinary collaboration are especially encouraged to apply. Be a part of a team shaping the future of higher education. Apply by sending a cover letter and CV to this posting. About Wentworth & the School of Computing and Data Science: Wentworth is an institution known as a university of opportunity with a high return on investment for its graduates. Our mission is to empower, inspire, and innovate through experiential learning and a student-centered approach to education. The School of Computing & Data Science consists of 30+ full-time faculty that offer undergraduate majors in Computer Science, Cybersecurity, IT, Data Science, and Applied Mathematics and graduate degrees in Computer Science, Data Science, and Cybersecurity. The school has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile/web application development, stochastic processes, dynamical systems, financial math and modeling. In addition, members of the school have close collaborative relationships with faculty in sciences, humanities, and electrical and computer engineering, among others. Our faculty comprises individuals from wide-ranging backgrounds and experiences, where collaboration is highly encouraged and supported, and our School has no department boundaries. Another point of pride is that our faculty members include those with significant industrial, consulting, entrepreneurial, and project management experience. Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan. Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth's commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu. E-Verify for Employment Eligibility Verification (Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 10+ years in data science or machine learning roles, including 5+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Data Science and Analytics Manager Who we are:      AMOpportunities is the pioneer of CTaaS, Clinical-Training-as-a-Service, and the preferred clinical training provider for healthcare trainees worldwide. Our platform provides a comprehensive solution to clinical training capacity and access issues. Through our software and services, hospitals can earn revenue and attract new talent without expending additional resources. Educational institutions can benefit from our software and services too with guaranteed U.S. training which meets their unique curriculum requirements and allows for expanded student enrollment.      The creation of this unique software and our services is inspired by the growing global shortages of healthcare professionals. We’re changing the future by providing a learning model that empowers healthcare trainees to learn and work anywhere. Over 3,200 medical trainees have benefited from our 250+ clinical experiences. We’re breaking down traditional borders and building the future of healthcare education.  Frequently cited statistics show that women and underrepresented groups apply to jobs only if they meet 100% of the qualifications. AMOpportunities encourages you to apply even if you do not meet all listed qualifications. We look forward to your application.   About the position:  The Data Analytics Manager is responsible for analyzing mission-critical company sales, operational, financial, and product data to provide actionable business insights, KPI tracking, and analytics tools for decisionmakers, overseeing day-to-day reporting, analysis, and development of data visualizations to optimize company performance. This includes converting raw data across several business systems and verticals into meaningful and digestible reports and insights, and development of an integrated data strategy in conjunction with leadership. Reports to the Chief Operating Officer and will provide support to other departments, as directed.   While this position can be fully remote, we are looking for candidates to be residents of Illinois, Ohio, Michigan, Indiana, New York, Florida, Minnesota, Pennsylvania, or Alabama only. Essential Functions:  Support primarily the Customer Success, Program Operations, and Clinical Recruitment teams and, as directed, the Sales, Business Development, Marketing, Technology, and Finance teams, and other key stakeholders with detailed visibility into all aspects of business performance   Prepare and deliver analytics and insights to help make data-informed decisions across markets, departments, and verticals  Create and maintain accurate and easy to understand dashboards and interactive visual reports using Hubspot, Tableau, Elastic Search Kibana and other tools to analyze inventory, customer preferences, operational efficiency, financial performance, and sales/marketing data and help interpret results to drive strategic business decisions   Responsible for generating standard and custom reports for stakeholders and synthesizing data and insights   In collaboration with the Sales Operations leader, perform administrative and superuser functions for the CRM system (Hubspot) and other digital tools (ex: adding and removing users, monitoring data feeds, updating data values, adjusting workflows, creating new reports, dashboards, update & maintain HubSpot data, etc.)   In collaboration with Tech and Operations, develop protocols and best practices for data cohesiveness, cleanliness, and quality, as well as appropriate use (ex: standardizing data uploads, list naming conventions, etc.)  In collaboration with the Sales Operations leader, research, identify, and implement testing of new CRM releases/features and communicate and train existing users on new features   Utilize data to identify areas of improvement across multiple departments  Serve as liaison between Customer Success, Program Operations, Clinical Recruitment, BD/Sales and the Technology team on implementation of new technologies to support the teams and other stakeholders, as needed  Collaborate with the BD, Sales, Customer Success and Clinical Recruitment teams to review and develop systems to prioritize customer and lead lists and associated workflows   Communicate appropriate organizational information during department meetings, one-on-one meetings, and other reporting venues  Develop tooling in platforms like Elastic Search to provide acquisition, implementation, and operational teams with the ability to make queries and answer questions about their business data in a timely manner  Work with Technology to implement supervised & unsupervised ML, as well as LLM and agentic LLM solutions utilizing business data to generate value  Actively seek feedback with an open mind to gain a deeper understanding through data  Perform other duties as assigned   Education and Experience: Bachelor’s degree (in fields like data science or analytics, computer science, statistics, engineering or mathematics preferred) ; equivalent work experience may be considered in lieu of a degree   Experience in Data Analytics, Data Visualizations, and languages like Python, R, or Stata    Minimum of 5 years working with data visualization tools such as Tableau, or in a Data Analyst role  Experience and comfort with using supervised and unsupervised ML to answer business questions, knowledge of when to use a specific ML modality  Experience deploying projects created with, or integrating leading LLMs (Gemini, Perplexity, Claude, GPT, etc.), especially developing agents for business and product use cases   Knowledge of the structure of healthcare systems and medical/nursing education, a plus    What You Gain:  Competitive salary of $95,000 - $120,000 annually Comprehensive Benefits Program: Medical, Dental, Vision, 401k, Tax Exempt Student Loan Repayment, and Commuter Benefits. A mission-driven work environment committed to a spirit of support, growth, and achievement.  Performance-based career growth opportunities  A front-row seat for the exponential growth of a booming education tech company  Work/life balance    Equal Opportunity Employer     At AMOpportunities we champion the reality of diversity and the necessity of inclusion and accessibility. We are deeply committed to the principle of equal employment opportunity for all employees, and to providing our employees with a work environment free of discrimination and harassment. We strictly prohibit discrimination and harassment based on disability, gender identity, gender expression, pregnancy status (including childbirth and related states), sexual orientation, race, color, social or ethnic origin, religion, age, HIV status, past/present military service, or any other status protected by federal, state, or local law.   Powered by JazzHR

Hi, Title – Sr. Software Engineer – Data Science Position – Fulltime Location – Boston, MA Salary - $Open (Best Possible) Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Math, or related technical/science field 5+ years of software engineering experience 2 years data science / machine learning experience Requirements Preferred Qualifications: Significant experience with Python and Python data stack Professional experience with the “PyData” stack – e.g. NumPy, pandas, matplotlib, Jupyter Notebook Experience with Java and Apache Spark Nice to have: experience in healthcare analytics; experience in Apache Spark Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management 20% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has Direct Reports & manages programs Travel Requirements: Typically requires overnight travel 5% to 20% 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: 9+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Experience managing and growing team members in a professional setting 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: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization 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 Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives 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 Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Supporting X323 Tradecraft innovation team - Experience creating analytics leveraging Access Discovery and CNE experience is required. Will need to have familiarity with AMOD query tools.

Graduate Management Admission Council (GMAC™) is a mission-driven organization, with a vision to be the global leader in ensuring every talented person can benefit from the best business education for them. The organization’s priority is to heighten its impact in promoting graduate management education and attracting a qualified and diverse candidate pool from around the world. The Director, Research and Data Science is responsible for overseeing the department and supporting the Council’s commitment to disseminating actionable and relevant information about the management education community. FLSA Status: Exempt Report to: Senior Vice President, School & Industry Engagement GMAC’s value proposition offers our talented employees the ideal climate for innovation, and colleagues who are motivated and proactive, with diverse backgrounds and approaches. As a global organization, we understand and appreciate the benefits of myriad cultural perspectives. GMAC is wholly committed to recruiting, developing, and retaining a diverse group of talented people, and providing equal employment opportunities to all employees and applicants without regard to the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, disability, sex (including pregnancy, childbirth, and related medical conditions), marital status, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable federal, state or local laws.

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: No Job Posting End Date: August 6, 2025 Shift: Job Description Summary: The Director of Data Science & Analysis will lead collaborative efforts with the Portfolio Strategy & Human Insights (PSHI) team to develop solutions and processes that leverage data in innovative ways, employing exploratory and confirmatory analytics as well as AI. This role will liaise closely with the global shared platform services team and will be pivotal in instigating organizational transformation by blending business insight with expertise in data and analytics. You will serve as a unifying force, overseeing the entire analytics process for our PSHI teams. This role will be pivotal in pinpointing opportunities for value creation by transforming data into actionable insights. In this role, you will also work closely with data engineers and other data scientists to shape the target state data vision and roadmap for the Portfolio Strategy & Human Insights (PSHI) team. . This role is central to fostering an analytical mindset and will hold responsibility for the evolution and enhancement of analytical methodologies, emphasizing the innovation of new and the refinement of existing algorithms. The Ideal candidate will possess substantial, hands-on experience in data querying, analytical programming, statistical programming, and visualization. They should excel in transforming raw data into insightful visual representations and have a profound understanding and practical experience in various analytical and statistical approaches. The candidate should be adept at both innovating new methodologies and optimizing existing ones, ensuring the delivery of actionable, data-driven insights. Demonstrated ability to leverage learnings from deep analytics to business marketing applications is also required. Key Responsibilities: Provide leadership for all data science initiatives within the Portfolio Strategy & Insights team – working closely with shared services (platform services) and external partners. Develop and implement advanced statistical models and machine learning algorithms to analyze consumer and shopper behavior, identify consumer segments, and predict future consumer trends. Guide the team in analyzing, visualizing, and interpreting complex data sets to provide actionable insights into our consumer and shoppers. Lead some of the key projects for NAOU marketing team , working closely with external partners. E.g. of projects – marketing mix model, modeling customer loyalty data for understanding trends, growth pathways for brands leveraging multiple databases etc Stay updated with the latest industry trends, techniques, and methods within the field of Data Science. Help build data science capabilities within NAOU PSHI and Marketing teams. Qualifications : Bachelor’s / Master’s degree in a relevant field (e.g. Analytics, Computer Science, Mathematics, Statistics, Data Science, Economics) 10+ years of work experience in a data-centric business environment – understanding of marketing, consumer, CPG will be an added advantage. Familiarity and understanding of market research/survey and qualitative data sets is a plus. Extensive hands-on experience in building scalable models in R, Python etc and experience with cloud services like AWS, Azure, or Google Cloud Platform and leveraging them for deploying models and handling data. Expertise or demonstrable knowledge in Statistics / Machine Learning / Data Science Familiarity with big data technologies and frameworks like Hadoop, Spark, and experience with processing large and diverse datasets. Hands-on experience in deploying scalable models in production environments, integrating them with other business systems to maximize their utility. Proven comfort and an intellectual curiosity for working with large sets of data to address identified and sometimes undiscovered business needs. Demonstrated ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data. Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Skills: Analytical Thinking, Cross-Functional Teamwork, Data Analytics, Data Driven, Data Science, Influencing, Machine Learning Algorithms, Market Research Consultancy, Storytelling Pay Range: $160,000 - $186,000 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage: 30 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Who we are. . . Pearl Health is powering the future of healthcare. We help primary care providers and organizations to deliver quality healthcare to the patients who need it most, when they need it most — and get rewarded for keeping patients healthy. Our technology, services, and financial tools enable better, more proactive care, decrease total cost of care across patient panels, and optimize performance in value-based care models for Traditional Medicare and Medicare Advantage. We are a team of physicians and public health experts (Stanford, Harvard, Mount Sinai), technologists (athenahealth, Amazon, Meta, Flatiron), healthcare innovators (Centivo, Aledade, Stellar, Arcadia), and experienced risk management professionals (CVS/Aetna, Humana, Oscar) who believe that primary care providers are the key to addressing our healthcare system’s biggest challenges. Since its founding in 2020, Pearl has expanded to partner with thousands of primary care providers in practices and organizations across 44 states. Our investors include Andreessen Horowitz, Viking Global Investors, AlleyCorp, and SV Angel. The role. . . As the VP of Data Science & Analytics (DS&A), you will be a pivotal leader within Pearl Health, reporting directly to the Chief Data Science Officer. You will lead a critical function responsible for shaping the strategic direction of our DS&A initiatives and research projects, helping DS&A leadership manage the day-to-day execution of those projects, and ensuring the delivery of high-impact solutions that drive business outcomes. This role demands a visionary leader with exceptional technical depth, a proven track record of building and scaling high-performing teams, and the ability to influence at an executive level. You will be responsible for establishing best practices and standards for the team’s research, stewarding the career development of talented managers and principal-level researchers, and fostering a culture of technical excellence and strategic impact within the DS&A organization. What you’ll bring. . . Strategic Leadership, Collaboration, and Vision : Partner with leadership across the company to establish and champion the DS&A team's priorities and ensure bidirectional strategic alignment. Work with these same leaders to deliver integrated, high-value, and timely solutions. Provide strategic guidance to DS&A leaders in managing complex projects, encompassing execution and critical cross-functional stakeholder alignment. Collaborate with the Chief Data Science Officer to define and evolve the team's multi-year research trajectory, identifying new opportunities and fostering innovation. Talent Leadership : Lead, mentor, and develop DS&A managers and Principal Data Scientists, fostering their professional growth and career progression so that they can harness the energy and talent of their reports to support Pearl’s mission. Technical Excellence & Research Taste : Cultivate and nurture exceptional research taste and technical rigor across DS&A leadership and their teams. Collaborate with the Principal Data Scientist and other senior talent in order to mentor, energize, and orient complicated and technically nuanced research. Operational Efficiency, Quality Assurance, & Risk Management : Collaborate with DS&A leadership and the Chief Data Science Officer to establish and refine internal systems and best practices, empowering the team to maximize impact by eliminating bottlenecks. Establish and refine robust frameworks to ensure the quality, rigor, and validity of team outputs are calibrated to business impact, risk, and regulatory considerations. Ensure all standard operating procedures (SOPs) adhere to statutory compliance standards and uphold a high ethical bar. Infrastructure & MLOps Partnership : Work closely with the VPs of Engineering and Technical Operations to envision, create, and maintain a robust, scalable, and secure MLOps environment, proactively addressing future infrastructure needs driven by research, product, and company growth. GenAI Application & Enablement : Pioneer the application of Generative AI (GenAI) within DS&A operations to amplify team impact and serve as a model for company-wide adoption. Organizational Development : Drive the long-term growth and evolution of the DS&A organization, including talent acquisition, retention, and succession planning, ensuring sustained capability to meet future business demands. Executive Communication : Communicate complex technical concepts and strategic initiatives clearly and persuasively to executive leadership, investors, and external partners, influencing critical decision-making. Who you are. . . 10-15 years of progressive experience in data science, analytics, or a related quantitative field, with 5-7+ years in senior leadership roles managing multiple teams. Advanced degree (Ph.D. or Master's) in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, Operations Research, Physics) or equivalent practical experience. Proven track record of defining, building, and scaling high-performing data science and analytics organizations within fast-paced, high-growth environments. Deep expertise in advanced machine learning, statistical modeling, experimental design, causal inference, and/or large-scale data processing. A history of spearheading deep research initiatives in machine learning and analytics, with a proven ability to guide teams in delivering innovative, scalable, and production-ready models that drive significant business value. Exceptional leadership, communication, and interpersonal skills, with the ability to inspire, influence, and collaborate effectively with diverse stakeholders at all levels, including executive leadership and external stakeholders. Extensive experience establishing and refining data governance, MLOps, and quality assurance best practices. Strong understanding of data architecture principles and proven experience collaborating with engineering teams to build robust data and MLOps infrastructure. Experience in the healthcare domain is a plus. Our Values We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things. We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment. Compensation and Benefits The salary range Pearl Health expects to pay for this position is between $240,000 - $280,000 per year. Full time employees are also eligible for annual discretionary bonus. Where a given candidate falls within that range will depend on a variety of factors, including, but not limited to, the candidate’s relevant skills, experience and location, labor market conditions and participation, if any, in other compensation arrangements. Pearl Health provides its employees a competitive benefit package - for more information please review our benefits page . Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.

Data Science Engineer - Tysons, VA Active Top Secret Clearance or above Salary: $150,000-$175,000 w/ full benefits Collaborate with data and subject matter experts from Customer and its customer teams to seek, understand, validate, interpret, and correctly use data and business insights DUTIES MLOps, Model Engineering, Training on time series data. After few weeks training on Customer's AI platform, develop AI-based applications using Customer's platform for operational cloud-deployed and secure lab deployed AI-based applications. Develop candidate models that are promoted to active models when their performance meets threshold. Train, validate and deploy machine learning pipelines Test, troubleshoot, and enhance customer AI-based applications based on feedback. Manage individual project deliverables Identify application performance bottlenecks and implement optimizations Write application specifications and documentation Articulate methodologies, experiments, and findings clearly in actionable way. Work in a fast-paced environment. This is NOT a data analytics role using Tableau or PowerBI. This is NOT an ETL & SQL role. This is NOT a R&D role prototyping at low TRL. REQUIRED Qualifications: Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. No experience in lieu of. 5+ years of Data Science development experience using Python Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. Strong proficiency in numpy & pandas. Demonstrated skills with Jupyter Notebook or comparable environments Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Candidates require a TS to start. TS/SCI with Polygraph preferred PREFERRED Qualifications: Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields Strong mathematical background (linear algebra, calculus, probability & statistics) Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience with modern software development tools and practices (Git, pull requests) Experience analyzing model performance with relevant metrics and optimizing. Familiarity with AI agent frameworks Ability to drive a project and work both independently and in a team Smart, motivated, can do attitude, and seeks to make a difference Excellent English communication and collaboration skills, particularly in multidisciplinary teams with data scientists, software engineers, product owners, & solution architects.

About the Role Build, validate, deploy, and maintain Data Science and Optimization models pertaining to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization. Design and implementation of sophisticated experimental frameworks utilizing advanced methodologies such as synthetic pairs, synthetic controls, and randomized controlled experiments to rigorously measure causal impacts on key performance indicators, leveraging robust statistical techniques, including difference-in-differences and regression analysis, while conducting comprehensive sensitivity analyses and producing actionable insights. Develop End to End simulation pipelines to accurately and realistically mimic business phenomenon and deploy the simulation to measure model performance. Develop data validation and visualization dashboards to lead model validation and adoptions collaborations with functional stakeholders. Collaborate with Inventory Management, PdM, and Strategy teams, as well as the central Data Science & AI team, to set up data science roadmaps and measure actions resulting from analytics recommendations. Telecommuting permissible from any location within US. Salary Range: $158,642 – $177,000 Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements. What You'll Do 1. Linear models, Tree Based models; 2. Deep learning models to leverage large data sets and to define various allocation optimization, price optimization or fulfillment optimization policies; 3. Time Series Modeling to analyze and forecast data collected over time to identify trends and patterns in sales fluctuations; 4. At least two of the following areas: Inventory Optimization, Promo & Markdown9 Optimization, and Fulfillment Optimization; 5. Simulation Design; 6. Experiment design and Measurement including defining hypotheses, selecting appropriate experimental variables (independent and dependent), using techniques like randomization, sampling, and control groups to reduce bias and ensure validity, hypothesis testing, A/B testing, and regression analysis to measure causal relationships and derive actionable insights; 7. Visualization tools like Tableau, Power BI; 8. Bayesian Machine Learning Models; 9. Data Mining to discover insights from large datasets; 10. Python Programming Language & Data Science Libraries like Scikit; and 11. Cloud infrastructure Azure, AWS, or DataBricks Who You Are Masters’s degree or foreign degree equivalent in Data Science, Operations Research, Statistics or related field and three (3) years of experience in Data science or in the job offered.