data science manager

The Home Depot

<p>Position Purpose:<br/></p><p>The Sr. Data Scientist is responsible for leading data science initiatives within the Pro Intelligence and Acquisition &amp; Integration space 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. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. 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.<br/>As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. 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, Sr. Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.<br/></p><p>Key Responsibilities:<br/></p><p>35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation<br/>30% Project Management &amp; 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<br/>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<br/>15% Technical Exploration &amp; 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; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>This position reports to manager or above<br/>This position has 0 Direct Reports<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel less than 10% of the time.<br/></p><p>Physical Requirements:<br/></p><p>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.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>PhD in a quantitative field (Computer Science, Math, Statistics, etc.)<br/>6+ years of experience in business intelligence and analytics<br/>Working knowledge of Microsoft Excel and Power Point<br/>Proficient in a modern scripting language (preferably Python)<br/>Proficient running queries against data (preferably with Google BigQuery or SQL)<br/>Proficient with data visualization software (preferably Tableau)<br/>Mastery utilizing statistical techniques to identify key insights that help solve business problems<br/>Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP<br/>Demonstrated proficiency in predictive modeling, data mining and data analysis<br/></p><p>Minimum Education:<br/></p><p>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.<br/></p><p>Preferred Education:<br/></p><p>No additional education<br/></p><p>Minimum Years of Work Experience:<br/></p><p>5<br/></p><p>Preferred Years of Work Experience:<br/></p><p>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/></p><p>None<br/></p><p>Preferred Leadership Experience:<br/></p><p>None<br/></p><p>Certifications:<br/></p><p>None<br/></p><p>Competencies:<br/></p><p>Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs<br/>Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals<br/>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/>Cultivates Innovation: Creating new and better ways for the organization to be successful<br/>Customer Focus: Building strong customer relationships and delivering customer-centric solutions<br/>Develops Talent: Developing people to meet both their career goals and the organization's goals<br/>Directs Work: Provides direction, delegating and removing obstacles to get work done<br/>Drives Results: Consistently achieving results, even under tough circumstances<br/>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder<br/>Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement<br/>Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels<br/></p>

Senior Data Scientist - Decision Analytics, Pro

New York City Department of Health and Mental Hygiene

<div></div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Director of Applied Data Science and Solutions, Bureau of Data Technology &amp; Strategy
</b></h1></div><div><div><div><div><ul><li>DEPT OF HEALTH/MENTAL HYGIENE</li></ul>
</div></div><div><div><div><p>Posted on</p>
<p>07/27/2026</p>
</div></div></div><div><div><ul><li>Full-time</li></ul>
</div></div><div><div><p>Location</p>
<p>QUEENS</p>
</div></div></div><div><div><div><ul><li>No exam required</li></ul>
</div></div><div><div><div><p>Department</p>
<p>Data Tech &amp; Strategy</p>
</div></div></div><div></div><div>Salary range: $75,000.00 &ndash; $140,000.00
</div></div></div><div><div><p>Save</p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><div><div>The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward
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linking public health, healthcare, and social service for timely and effective publication. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected &ndash; and actively used to protect and promote the health and wellbeing of New Yorkers. We aim to strengthen agencywide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A real-time and comprehensive view of city needs is needed to enhance public health actions and improve health outcomes for the most vulnerable New Yorkers. The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data to be accessible, timely, equitable, meaningfully usable, and protected in order to protect and promote health and wellbeing of New Yorkers.
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The Bureau of Data Technology and Strategy (DTS) is dedicated to the development of the Enterprise Data Platform (EDP) and is home to data strategy, data governance, data product management, data engineering, and data science capabilities. The Applied Data Science unit within DTS oversees a number of mission critical agency projects including the Master Patient Index project, the Client Engagement Platform project, the Whole Genome Sequencing project, and various interoperability projects to support Disease surveillance systems. The unit also provides analytical support for ad hoc analyses and admin support for the Enterprise Data Platform.
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Duties will include but not be limited to:
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<ul><li>Lead and oversee all aspects of the Master Patient Index project and including the development of service endpoints, integrations with other systems, and building of entity resolution models.
</li><li>Provide management, design, and developer support for interoperability projects underlying critical surveillance systems, whole genome sequencing project, client engagement platform project, and other novel projects that arise.
</li><li>Carry out code reviews with project developers, diagramming sessions with IT, and presentations for stakeholders.
</li><li>Coordinate project work across developers, IT admins, and vendors.
</li><li>Act as lead or supporting sql developer, python developer, or data scientist for any project as directed by leadership.
</li></ul><br>
Preferred Skills:
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<ul><li>8 or more years of Python experience
</li><li>10 or more years of SQL development experience
</li><li>5 or more years of business intelligence experience
</li><li>5 or more years of statistical modeling experience
</li><li>3 or more years of machine learning modeling experience
</li><li>Functional presentation and communication skills
</li></ul><br>
Why you should work for us:
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<ul><li>Benefits: City employees are entitled to unmatched benefits such as:
</li></ul>o a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment.
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o additional health, fitness, and financial benefits may be available based on the position&rsquo;s associated union/benefit fund.
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o a public sector defined benefit pension plan with steady monthly payments in retirement.
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o a tax-deferred savings program and
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o a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers.
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<ul><li>Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home.
</li></ul>- Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work.
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Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise.
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Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers!
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The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549.
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IT AUTOMATION AND MONITORING E - 95712</div><br>
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<h2 class="jobSectionHeader"><b>Minimum Qualifications</b></h2><br>
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<p>1. A baccalaureate degree in computer science, engineering or a related field from an accredited college and four years of satisfactory full-time experience related to IT automation engineering, monitoring engineering, management of infrastructure; or
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2. Eight years of satisfactory full-time experience related to IT automation engineering, monitoring engineering, management of infrastructure;
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3. Education and/or experience which is equivalent to &quot;1&quot; or &quot;2&quot; above.</p><br>
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<h2 class="jobSectionHeader"><b>Public Service Loan Forgiveness</b></h2>
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As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.
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<h2 class="jobSectionHeader"><b>Residency Requirement</b></h2>
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New York City Residency is not required for this position
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<h2 class="jobSectionHeader"><b>Additional Information</b></h2><br>
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<div></div><p>The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p>
</div></div><div><div>Apply <p>Save</p>
</div></div></div></div><div><div><div><div><div><div><p>Job ID</p>
<p>788243</p>
</div></div><div><div><div><p>Posted until</p>
<p>09/25/2026</p>
</div></div></div><div><div><div><p>Title code</p>
<p>95712</p>
</div></div></div><div><div><div><p>Civil service title</p>
<p>IT AUTOMATION AND MONITORING E</p>
</div></div></div><div><div><div><p>Title classification</p>
<p>Non-Competitive-5</p>
</div></div></div><div><div><div><p>Business title</p>
<p>Director of Applied Data Science and Solutions, Bureau of Data Technology &amp; Strategy</p>
</div></div></div></div><div><div><div><ul><li>Experience level: Manager</li></ul>
</div></div><div><div><div><p>Job level</p>
<p>00</p>
</div></div></div><div><div><div><p>Number of positions</p>
<p>1</p>
</div></div></div><div><div><div><p>Work location</p>
<p>42-09 28th Street</p>
</div></div></div><div><div><ul><li>Category: Technology, Data &amp; Innovation</li></ul>
</div></div></div></div></div></div><div><div><div><div><p>Director of Applied Data Science and Solutions, Bureau of Data Technology &amp; Strategy</p></div></div></div></div></div><div></div>

Director of Applied Data Science and Solutions, Bureau of Data Technology & Strategy

Teledyne FLIR

<div><p><b>Be visionary</b></p><p></p><p>
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
</p><p></p><p>We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.</p><p><br>
</p><p><b>Job Description</b></p><p><br>
</p><p><b>Company Overview</b></p><p>
Teledyne Brown Engineering, Inc. is an industry leader in engineered systems and advanced manufacturing. The Company provides full-spectrum systems engineering, integration, manufacturing, and lifecycle sustainment solutions to the marine, aviation, aerospace, defense, energy, and environment markets. Teledyne Brown has expertise in systems integration, technology development, hardware design, prototype development, system test and evaluation, advanced manufacturing, performance-based logistics solutions, and operations and maintenance.</p><p></p><p><b>
Position Background and Scop</b>e</p><p>
Teledyne Brown Engineering has provided software engineering, modeling and simulation, and advanced analytics in support of DoD operational readiness since 2001.</p><p></p><p>
We are seeking a Senior Data Scientist to join our Advanced Analytics team whose mission is to provide insights and solve problems in support of DoD missions and force readiness.</p><p></p><p>
This team provides custom analytic findings and develops, maintains, and delivers decision support capability tools for DoD customers to include administrators and planners at Echelons I, II, and III. The primary objective of the role is to work directly with our customers to identify requirements, develop decision support tools, and support the customer community in their use of the tools.</p><p>
Teledyne combines global diversity and presence with local flexibility and autonomy. Our teams are committed to shared core values: trust, transparency, and accountability within a high-performance culture. Our employees are encouraged and empowered to do their best to exceed the expectations of our customers.</p><p><b><br>
Position Summary</b></p><p>
Teledyne is seeking a Senior Data Scientist to lead advanced analytics efforts supporting Department of Defense healthcare and readiness initiatives. The candidate will work with internal subject matter experts, data scientists, Power Platform developers, UX/UI designers, and data engineers to identify opportunities and to execute and maintain projects of executive interest.</p><p>
The candidate will work with internal and external (Government) leadership, managers, and technical staff across DoD organizations and develop technical solutions for complex business and operational problems. The candidate will participate in the planning and development of data products, dashboards, predictive models, and decision support tools that enable data-driven decision-making at senior leadership levels.</p><p></p><p>
This is a hybrid remote work position while residing within commuting distance of Falls Church, VA to support occasional in-person meetings. Position will require occasional travel in support of customer requirements.</p><p></p><p><b>
Position Responsibilities</b></p><ul><li><p>
Work closely with customers, managers, and technical teams to define program scope, goals, and deliverables</p></li><li><p>
Lead and manage a team of data scientists and analysts to develop long-term analytic products</p></li><li><p>
Direct and execute advanced analytics, including predictive modeling, statistical analysis, and machine learning</p></li><li><p>
Develop interactive dashboards and Power Platform applications (Power BI, Power Apps, Power Automate) to deliver actionable insights and decision support capabilities</p></li><li><p>
Respond to ad hoc requests for rapid analysis to support operational and strategic decisions</p></li><li><p>
Prepare and present briefings, reports, and visualizations for senior leaders and stakeholders</p></li><li><p>
Provide leadership for multi-disciplinary teams in a collaborative environment</p></li><li><p>
Collaborate with other team leads that are geographically dispersed to align and share resources when needed</p></li><li><p>
Author and review technical documentation to ensure quality and accuracy</p></li><li><p>
Drive continuous improvement of analytic methodologies, tools, and workflows</p></li></ul><p></p><p><b>
Qualifications</b></p><ul><li><p>
Strong experience applying data science, statistics, and operations research techniques</p></li><li><p>
Proficiency in programming languages such as Python, R, SQL</p></li><li><p>
Experience developing data visualizations and dashboards</p></li><li><p>
Experience leading analytic projects and mentoring team members</p></li><li><p>
Familiarity with cloud environments (AWS, Azure)</p></li><li><p>
Experience working with DoD or Military Health System data preferred</p></li></ul><p></p><p><b>
Education and/or Experience</b></p><p>
Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, Mathematics, or related field with 4+ years of relevant experience, including leadership experience. Master's degree preferred.</p><p>
Strong communication skills with ability to engage stakeholders at all levels.</p><p>
Possesses or is able to obtain and maintain a SECRET security clearance.</p><p></p><p><b>
Citizenship Requirements</b></p><p>
Due to classified work at the facility and related access restrictions, successful applicants must be U.S. citizens and must be able to gain and maintain a DoD Secret level clearance.</p><p></p><p>
#TBE</p><p><br>
</p><p>Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.</p><p></p><p>
Teledyne 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, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.</p></div>

Data Scientist

Zions Bancorporation

Consistently ranking among American Banker magazine's "Best Banks to Work For" for over a decade, Zions Bancorporation is a "Collection of Great Banks" with local brand names and management teams in each of our major Western markets.
<br>And because we’ve known that, for over 150 years, our success has come from the exceptional dedication, experience and talent of our diverse employee base, we're committed to being the premier employer of choice.
<br>Ready to make your mark on a legacy brand?
<br>Our expanding marketing team is building something special—a dynamic, in-house Creative Studio and innovative Demand Center that will transform how we connect with customers. Under fresh leadership from our newly appointed CMO, we're reimagining what marketing can be while supporting a bank known for its experienced bankers, exceptional service, and local leadership deeply rooted in the communities we serve. This isn't just another financial marketing role — it's your chance to shape a creative vision with real impact.
<br>You bring the talent; we bring the opportunity.
<br>We’re seeking an exceptional Marketing Analytics Manager (Data Analytics Manager) to join our enterprise marketing team and oversee analytics, campaign performance, and key marketing initiatives.
<br><b>Work Arrangement:</b> This is a 100% in-office position. Candidates must be available to work from a corporate hub five days a week; hybrid or remote work is not an option
<br><b>Location:</b> (On-Site Required) AZ, CA, CO, NV, OR, TX, WA, or UT
<br><b>Salary Range:</b> This position is eligible to earn a base salary in the range of $100,875 - $134,500 annually depending on job-related factors such as level of experience and location.
<br>Key Responsibilities Works under limited supervision to lead analysis on key marketing initiatives and prepares executive reports on campaign performance, customer engagement, and ROI to inform strategic decision-making and enhance marketing effectiveness. The candidate must demonstrate a proven ability to translate complex analytical findings into a clear, persuasive narrative specifically for a marketing leadership audience. They need to be able to connect data points directly to campaign strategy and business impact. A/B Testing Expertise: Must be able to design, execute, and analyze complex marketing tests. Oversee public facing web properties, including controls on web page publishing, using analytics to measure results and inform strategy.
<br>Act as liaison with martech, growth marketing, agency and segment marketing teams.
<br><br>
<b>Qualifications:</b> Requires a Bachelor's degree and 6+ years of marketing, data science, data analytics, information systems, statistics or a related experience. Some managerial/supervisory experience required. A combination of education and experience may meet requirements. Proven Marketing Domain Experience: Requires a considerable working knowledge of all aspects of marketing strategies and tactics, including interactive, digital and print marketing Experience with Power BI/Tableau/Adobe suite/ desirable. Ability to manage large projects, and agile product management/development. Must have sound management, organizational and communication skills, both written and verbal. Solid client relationship, project management, problem solving and analysis skills. Ability to set and maintain high quality work standards. Ability to deal effectively with people in various job capacities. Exhibits an exceptional degree of ingenuity, creativity and resourcefulness in decision making and problem solving.
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<b>Visa Sponsorship:</b><br>
This Marketing Analytics Manager position is currently not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.
<br><b>Benefits:</b> Medical, Dental and Vision Insurance - START DAY ONE! Life and Disability Insurance, Paid Parental Leave and Adoption Assistance Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays, and any applicable state holidays 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience Mental health benefits including coaching and therapy sessions Tuition Reimbursement for qualifying employees enrolled in an accredited degree program related to the needs of the business, maximum of $5,250 per calendar year, employees are eligible for the program upon hire Employee Ambassador preferred banking products

Marketing Insights and Analytics Manager--AZ, CA, CO, NV, OR, TX, WA, or UT

State of Arkansas

<b>Date:</b> Jul 28, 2026
<br><b>Req ID:</b> 58831
<br><br>
<b>Location:</b><br>
Little Rock, AR, US, 72201
<br><br>
<b>#job-location.job-location-inline { display:</b> inline; }
<br><b>Category:</b> DEPARTMENT OF EDUCATION
<br><b>Anticipated Starting Salary:</b> 88454.91
<br><br>
<b>Position Number:</b> 22152851
<br><b>County:</b> Pulaski
<br><b>Posting End Date:</b> 8/11/2026
<br>ADE
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Join the Arkansas Department of Education where each student is recognized as an individual. Through a cultivation of world-class educators, partnering with communities, and an influx of social supports, Arkansas Department of Education provides multi-level supports that help ensure students will receive a personalized education and develop a life-long love of learning.
<br><br>
Position Information
<br><br>
<b>Job Series:</b> Data Analytics – Competitive
<br><br>
<b>Classification:</b> Data Analyst Supervisor/Expert
<br><br>
<b>Class Code:</b> IDN02P
<br><br>
<b>Pay Grade:</b> IST09
<br><br>
<b>Salary Range:</b> $88,455 - $144,321
<br><br>
Job Summary
<br>The Data Analyst Supervisor/Expert plays a crucial leadership role in overseeing and managing the strategic use of data analysis across multiple projects within the State of Arkansas government. This position is responsible for supervising and mentoring a team of data analysts, setting strategic goals for data initiatives, and ensuring that data analysis meets the needs of various state agencies. The Data Analyst Supervisor/Expert must possess advanced data analysis skills, leadership capabilities, and an in-depth understanding of the state's data systems and infrastructure.
<br>Primary Responsibilities
<br>The assignment of supervisory duties is determined by the hiring agency's operational needs. Non-supervisory roles will serve as senior technical experts. Lead and supervise a team of data analysts, data scientists, and related staff, ensuring quality, accuracy, and timeliness of data-driven projects. Design and implement data strategies to support complex government operations and policy decisions. Manage large-scale data analytics projects, ensuring the collection, analysis, and dissemination of high-quality data. Oversee the development of automated data collection processes, dashboards, and data visualization tools for state departments. Collaborate with other state agencies and external stakeholders to align data analytics efforts with state policy objectives. Develop and enforce data governance policies and standards to maintain the security and privacy of sensitive data. Provide expert-level consultation to agency leadership on data-driven decisions, reporting, and strategic planning. Conduct complex data analysis and statistical modeling to support decision-making at the highest levels of government. Train and mentor junior data analysts, fostering professional growth and ensuring the team stays up to date with the latest data technologies and techniques.
<br>Knowledge and Skills
<br>Data analytics methodologies, statistical techniques, and advanced data modeling. Database management systems, data warehousing, and cloud-based data environments. Leadership and team management, with the ability to motivate and develop staff. Expertise in data analysis tools such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Excellent communication skills, both written and verbal, with the ability to present data insights to non-technical stakeholders. Ability to work effectively across teams and manage multiple high-priority projects simultaneously. Ability to interpret and translate data insights into actionable strategies for government operations.
<br>Minimum Qualifications
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Bachelor’s or master’s degree in data science, computer science, statistics, or a related field preferred. At least six years of experience in data science, machine learning, or advanced data analysis.
<br><br>
Satisfaction of the minimum qualifications, including years of experience and service, does not entitle employees to automatic progression within the job series. Promotion to the next classification level is at the discretion of the department and the Office of Personnel Management, taking into consideration the employee’s demonstrated skills, competencies, performance, workload responsibilities, and organizational needs.
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Licensure/Certifications
<br>N/A OTHER JOB RELATED EDUCATION AND/OR EXPERIENCE MAY BE SUBSTITUTED FOR ALL OR PART OF THESE BASIC REQUIREMENTS, EXCEPT FOR CERTIFICATION OR LICENSURE REQUIREMENTS, UPON APPROVAL OF THE QUALIFICATIONS REVIEW COMMITTEE.
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The State of Arkansas is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, pregnancy, age, disability, citizenship, national origin, genetic information, military or veteran status, or any other status or characteristic protected by law.

DATA ANALYST SUPERVISOR/EXPERT

Univision Communications Inc

<div><p>TelevisaUnivision is the leading Spanish-language media company in the world! We&rsquo;re investing in our content, our people, and our properties, which span digital, streaming, social, audio, linear, and live events. We&rsquo;re growing our offerings, building on the success of our streaming platform, ViX.</p><p></p><p>
TelevisaUnivision is seeking a <b>Director of Data Science, Graph and Insights</b> to join our Data Science and Engineering team. This team serves as the organization&rsquo;s center of excellence for advanced analytics and data science, providing innovative data products, scalable analytical solutions, and actionable insights that drive strategic business decisions across the enterprise. The team is responsible for building and enhancing large-scale, high-performance systems that organize and activate data from multiple platforms while developing advanced statistical models and proprietary data assets that power advertising, audience intelligence, personalization, and product innovation.</p><p></p><p>
This team owns several of the company&rsquo;s most valuable data assets, including our Hispanic Household Graph, household and identity graph solutions, entity resolution capabilities across multiple identity providers, conflict resolution methodologies, proprietary audience segments, and strategic partnerships that expand TelevisaUnivision&rsquo;s data ecosystem and enable new data-driven products and services.</p><p>
The <b>Director of Data Science, Graph and Insights</b> will lead the strategy, development, and continuous evolution of TelevisaUnivision&rsquo;s household and identity graph capabilities. This leader will be responsible for advancing the quality, scalability, and business value of our proprietary graph assets through statistical modeling, algorithm development, identity resolution, and integration of first- and third-party datasets. The Director will establish technical direction, prioritize initiatives, and partner closely with senior leaders across Product, Engineering, Data Engineering, Marketing, Research, and Ad Sales to ensure our graph capabilities continue to drive competitive advantage.</p><p></p><p>
This is a player-coach leadership role, balancing strategic leadership with hands-on technical contributions. The Director will mentor and develop a team of data scientists while remaining actively involved in solving complex technical challenges, guiding architectural decisions, and delivering high-impact analytical solutions.</p><p></p><p>
A successful candidate will be an integral leader within the Enterprise Data organization and a trusted partner to stakeholders across the company. This individual will build and develop a high-performing data science team through coaching, technical leadership, and operational excellence while fostering collaboration across the broader data organization to deliver innovative data products and measurable business impact.</p><p></p><p><b>
YOUR DAY-DAY:</b> (aka Responsibilities)</p><ul><li>
Lead the vision, roadmap, and execution strategy for TelevisaUnivision&rsquo;s household and identity graph capabilities.</li><li>
Manage, coach, mentor, and develop a high-performing team of data scientists, fostering a culture of innovation, technical excellence, collaboration, and continuous learning.</li><li>
Establish technical direction and best practices for graph science, identity resolution, statistical modeling, and machine learning initiatives.</li><li>
Own and continuously improve household and identity graph assets, including entity resolution frameworks, conflict resolution methodologies, audience segmentation, and graph enrichment strategies.</li><li>
Evaluate, validate, integrate, and optimize new first-party and third-party data sources to strengthen graph quality and business value.</li><li>
Apply advanced statistical techniques, machine learning, and algorithmic modeling to improve graph accuracy, audience understanding, and identity resolution.</li><li>
Partner closely with Product, Engineering, Data Engineering, Marketing, Research, and Ad Sales leaders to prioritize initiatives that support strategic business objectives.</li><li>
Translate complex analytical findings into actionable recommendations that influence executive decision-making and product strategy.</li><li>
Drive the development of scalable data science solutions that improve audience intelligence, advertising capabilities, and customer experiences.</li><li>
Define success metrics, monitor performance, and continuously improve graph quality, operational efficiency, and business outcomes.</li><li>
Lead multiple high-impact initiatives simultaneously while balancing long-term strategic investments with immediate business priorities.</li><li>
Serve as the technical leader and subject matter expert for Graph and Insights across the organization.</li><li>
Foster strong cross-functional relationships and influence technical and business decisions across a highly matrixed organization.</li><li>
Remain hands-on with complex technical work where appropriate while empowering team members through effective delegation and coaching.</li></ul><p></p><p><b>
YOU HAVE:</b> (Required Skills, Qualifications and Experience)</p><ul><li>
8+ years of experience in Data Science, Applied Statistics, Machine Learning, or a related quantitative field.</li><li>
3+ years of experience leading, managing, mentoring, and developing technical teams.</li><li>
Demonstrated experience leading large-scale data science initiatives from concept through production.</li><li>
Proven experience defining technical strategy and influencing cross-functional business and technology decisions.</li><li>
Strong expertise in statistical modeling, machine learning, graph-based analytics, and quantitative methodologies.</li><li>
Advanced proficiency in Python.</li><li>
Advanced proficiency in SQL.</li><li>
Experience working with large-scale cloud-based data warehouse environments such as BigQuery or Snowflake.</li><li>
Experience conducting complex analyses that drive measurable business impact.</li><li>
Proven ability to communicate technical concepts effectively to both technical and executive audiences.</li><li>
Demonstrated success managing multiple complex initiatives and competing priorities in a fast-paced environment.</li><li>
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Data Science, or another quantitative discipline.</li></ul><p></p><p><b>
Desired Skills, Qualifications and Experience</b></p><ul><li>
Experience building pseudonymous identity frameworks leveraging device graphs.</li><li>
Experience with household graphs, identity graphs, entity resolution, or conflict resolution frameworks.</li><li>
Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, Engineering, Data Science, or another quantitative discipline.</li><li>
Experience working with very large datasets and distributed data processing environments.</li><li>
Experience developing proprietary data products that support advertising technology, personalization, customer analytics, or audience measurement.</li><li>
Demonstrated ability to influence senior leaders and drive alignment across highly matrixed organizations.</li><li>
Strong strategic thinking and business acumen with the ability to translate business priorities into scalable data science solutions.</li><li>
Strong relationship-building, coaching, and leadership skills.</li><li>
Excellent written, verbal, and presentation communication skills.</li><li>
Ability to thrive in a rapidly changing, high-growth environment while balancing strategic priorities and execution.</li><li>
Full professional proficiency in English and either professional Spanish proficiency or the desire to become proficient in Spanish.</li><li>
Knowledge of and active interest in TelevisaUnivision content is a plus.</li></ul><p></p><p><b>
ELIGIBILITY REQUIREMENTS</b></p><ul><li>
Must be willing to work in the US</li><li>
Employment/education will be verified</li><li>
Applicants must be currently authorized to work in the United States on a full-time basis</li></ul><p></p><p><b>
OUR BENEFITS:</b></p><p>
TelevisaUnivision believes that a happy, well-balanced employee is what makes our culture thrive. We offer a wide selection of perks and benefits including PTO; tuition reimbursement; wellness and employee support programs; 401K; and life and other insurance plans. This is all in addition to our comprehensive and competitive health benefits package featuring medical, dental and vision coverage options.</p><p></p><p>
TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.</p></div>

Director, Data Science - Graph & Insights

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<div><h2 class="jobSectionHeader"><b>Data Science and Artificial Intelligence Group Manager (Senior Vice President)</b></h2>
<p></p><h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p>We are looking for a seasoned, technically deep, and strategically minded leader to drive one of the most impactful analytics functions within our US Consumer Cards business. This role sits at the intersection of advanced data science, model governance, financial intelligence, and Generative AI &mdash; with end-to-end accountability across high-visibility initiatives that shape business strategy, regulatory standing, and customer outcomes at scale.</p>
<p>You will lead a high-performing, multi-geography team, influence senior stakeholders across Marketing, Finance, Risk, Legal, and Technology, and deliver outcomes spanning revenue growth, expense savings, compliance transformation, and enterprise AI innovation.</p>
<h2 class="jobSectionHeader"><b>What You'll Own</b></h2>
<p><b>1. Existing Customer Analytics &amp; Campaign Modeling</b> Lead end-to-end modeling for existing customer strategies powering large-scale direct mail and digital campaigns &mdash; core growth levers embedded in the operating plan that translate analytical rigor into measurable business performance.</p>
<p><b>2. Model Risk &amp; Regulatory Compliance</b> Own a firm-wide model risk remediation program covering a large portfolio of models. A board- and regulator-facing priority requiring continuous senior ownership, credit bureau attribute remediation, and full regulatory compliance.</p>
<p><b>3. Financial Forecasting &amp; Reserve Modeling</b> Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts. Your work will reduce reserve volatility, sharpen financial controls accuracy, and inform CFO-level planning decisions.</p>
<p><b>4. Generative AI Innovation</b> Lead the development of a GenAI-powered customer communication model, positioning the team at the forefront of the firm's enterprise AI transformation agenda.</p>
<p></p><h2 class="jobSectionHeader"><b>Responsibilities</b></h2>
<p><b>Analytics &amp; Model Leadership</b></p>
<ul><li>Lead and direct distributed teams of data scientists and analytics professionals across geographies &mdash; covering performance management, hiring, development, and budget oversight</li>
<li>Own the design, development, and governance of predictive models and ML solutions that inform business strategy and financial planning</li>
<li>Drive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk Policy</li>
<li>Develop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planning</li>
<li>Build and enhance reserve models that improve financial controls accuracy and reduce volatility</li>
<li>Leverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools to drive strategic decisions</li>
<li>Serve as Model Sponsor Delegate &mdash; accountable for formal model governance, sign-off, and oversight across a large model portfolio</li>
</ul><p></p><p><b>AI Innovation &amp; Solution Development</b></p>
<ul><li>Drive AI-led analytics solutions for key business problems &mdash; including Personalized Next Best Action decisioning engines, Campaign Analytics Platforms, and Conversational &amp; Contextual Business Insights. Own the full AI solution lifecycle from concept to production</li>
<li>Partner with stakeholders across business and technology functions to architect, prototype, and deploy scalable AI solutions that deliver measurable business impact</li>
<li>Collaborate directly with business and technology teams to jointly develop high-impact AI solutions, combining technical expertise with business acumen to address complex, cross-functional challenges</li>
<li>Conceptualize AI-powered automation and tools that accelerate internal analytics workflows and drive productivity &mdash; creating innovative solutions that streamline processes and enhance analytical capabilities across the organization</li>
<li>Lead the evolution of AI-enhanced modeling techniques to accelerate development cycles and improve analytical precision</li>
</ul><p></p><p><b>AI Governance &amp; Controls</b></p>
<ul><li>Operationalize AI governance standards ensuring model explainability, responsible deployment, regulatory compliance, and full adherence to Model Risk Management guidelines</li>
<li>Ensure teams partner with and follow control processes across Information Security, Platform Security, and Data Security while executing on next-generation re-engineering of business, data, and AI processes</li>
<li>Engage and influence multiple Managing Director&ndash;level stakeholders across Marketing, Finance, Technology, Model Risk Management, Fair Lending, and Legal</li>
<li>Ensure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy; proactively escalate and manage risk with full transparency</li>
</ul><p></p><p><b>Strategy, Partnerships &amp; Team Building</b></p>
<ul><li>Work in partnership with business stakeholders and Analytics teams to identify, prioritize, and deliver high-impact AI solutions &mdash; building trusted partnerships that enable rapid alignment, efficient resource deployment, and direct impact on critical business needs</li>
<li>Establish and lead a specialized team equipped to deliver enterprise-grade AI solutions; recruit top talent, foster a culture of innovation and experimentation, and drive non-linear outcomes</li>
<li>Deliver value beyond arbitrage by establishing productivity and innovation measurement frameworks that track outcomes across business deliverables and team performance &mdash; aligned with senior leadership priorities</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<p><b>Experience &amp; Expertise</b></p>
<ul><li>10+ years in data science, quantitative analytics, or financial modeling within financial services</li>
<li>Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy</li>
<li>Proven track record in model risk management, regulatory remediation, or formal model governance</li>
<li>Deep experience in financial forecasting, reserve modeling, or FP&amp;A-aligned analytics</li>
<li>Experience with Generative AI and Large Language Models (LLMs) in applied business contexts</li>
<li>Strong background in credit risk, marketing analytics, or existing customer management</li>
<li>Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution</li>
</ul><p></p><p><b>Technical Skills</b></p>
<ul><li>Advanced AI/ML proficiency &mdash; Generative AI, supervised/unsupervised learning, optimization, and time-series forecasting</li>
<li>Expertise in data engineering and big data platforms</li>
<li>Proficiency in Python, SQL, and data visualization tools</li>
<li>Familiarity with SDLC, version control (Bitbucket/GitHub), and JIRA</li>
<li>Knowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statistics</li>
<li>Knowledge of big data, distributed computing, Python, Spark, SQL, Excel, and MLOps</li>
<li>Knowledge of Generative AI, Retrieval-Augmented Generation (RAGs), Agentic AI, and Large Language Models (LLMs)</li>
<li>Knowledge of Model Risk Management frameworks, model accuracy metrics, ECOA, banking regulations, and Fair Lending rules; working knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, and ECOA in the context of AI/ML model deployment within a regulated financial institution</li>
</ul><p></p><p><b>Leadership &amp; Communication</b></p>
<ul><li>Proven ability to lead and inspire distributed, cross-functional teams</li>
<li>Exceptional stakeholder management &mdash; able to engage, influence, and negotiate at the Managing Director level</li>
<li>Strong project management across complex, multi-workstream programs with regulatory and executive timelines</li>
<li>Ability to translate technical complexity into clear, compelling narratives for senior business audiences</li>
<li>Analytically creative problem-solver who thrives in ambiguous, high-stakes environments</li>
<li>Strong storyboarding, PowerPoint, and executive deck creation skills &mdash; able to distill complex analytical insights into crisp, board-ready presentations</li>
</ul><h2 class="jobSectionHeader"><b>Education</b></h2>
<ul><li>Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) required</li>
<li>Master's degree or Ph.D. strongly preferred</li>
</ul><p></p><p><i>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</i></p>
</div><p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Decision Management
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Specialized Analytics (Data Science/Computational Statistics)
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location:</b></h2>
New York New York United States
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location Full Time Salary Range:</b></h2>
$192,000.00 - $288,000.00<br>
<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
</p><p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Please see the requirements listed above.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<h2 class="jobSectionHeader"><b>Anticipated Posting Close Date:</b></h2>
Aug 05, 2026
<p>-</p>
<h2 class="jobSectionHeader"><b>Automated Processing and AI</b></h2><br>
<br>
<p>We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.</p>
<p></p><p>Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.</p>
<p></p><p>Illinois residents &ndash; AI Notice and Right</p>
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid

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