data science manager

Work From Home

<div><h5 class="jobSectionHeader">Introduction</h5>
Do you want to join an organization that invests in you as a Data Science Manager? At HCA, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.<h5 class="jobSectionHeader">
Benefits</h5>
HCA offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:<ul><li>
Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.</li><li>
Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.</li><li>
Free counseling services and resources for emotional, physical and financial wellbeing 
</li><li>
401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service) 
</li><li>
Employee Stock Purchase Plan with 10% off HCA Healthcare stock 
</li><li>
Family support through fertility and family building benefits with Progyny and adoption assistance. 
</li><li>
Referral services for child, elder and pet care, home and auto repair, event planning and more 
</li><li>
Consumer discounts through Abenity and Consumer Discounts 
</li><li>
Retirement readiness, rollover assistance services and preferred banking partnerships 
</li><li>
Education assistance (tuition, student loan, certification support, dependent scholarships) 
</li><li>
Colleague recognition program 
</li><li>
Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence) 
</li><li>
Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.</li></ul>
Learn more about Employee Benefits
Note: Eligibility for benefits may vary by location. 
You contribute to our success. Every role has an impact on our patients&rsquo; lives and you have the opportunity to make a difference. We are looking for a dedicated Data Science Manager WFH like you to be a part of our team.<h5 class="jobSectionHeader">
Job Summary and Qualifications</h5>
At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA&rsquo;s Care Transformation and Innovation (CT&amp;I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.
The Manager, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team.
This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience.
What You'll Do:<ul><li>
AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring. Responsible for team level OKRs related to product modules and agile delivery.</li><li>
FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD. Enable good developer experience in code-centric and low-code environments.</li><li>
CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional)</li><li>
LEADERSHIP: Manage, mentor, and coordinate the team of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations. Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms.</li><li>
STRATEGIC LEADERSHIP: Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.</li><li>
DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&amp;I.</li><li>
PRODUCT DEVELOPMENT MINDSET: Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users. Develop and track data product OKRs for measurable value creation for the enterprise.</li></ul><h6 class="jobSectionHeader">
What qualifications you will need:</h6><ul><li>
Bachelor&rsquo;s Degree in Computer Science or related field</li><li>
4+ years of overall experience in various aspects of data science and machine learning with demonstrated progressive responsibilities; particularly in Predictive Modeling, Optimization and/or Operations Research</li><li>
Expert experience in SQL and Python</li><li>
Experience with structured and unstructured data (ie. tabular, text, images, video, etc)</li><li>
Experience with SQL relational and non-relational databases</li><li>
Experience with data processing and ETL tools (e.g Apache Spark)</li><li>
Experience with data visualization and data monitoring tools</li><li>
Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker</li><li>
Experience with cloud deployments in GCP or another cloud platform</li><li>
Experience with Agile development methods and tools (e.g. Azure Dev Ops)</li><li>
Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders</li><li>
Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams</li><li>
Ability to tell a story using data and insights that drives action and change</li><li>
Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness</li></ul>
Preferred Requirements<ul><li>
Masters/PhD Degree in Computer Science or related field</li><li>
Healthcare domain knowledge and experience</li><li>
Strong project management skills with the ability to manage multiple projects simultaneously</li><li>
Agile Delivery, Product Management or Scrum Master certifications</li><li>
Experience managing and unblocking teams in GCP platform</li></ul>
Work Location/Schedule:<ul><li>
Must reside in or be willing to relocate to Nashville, TN, Orlando, FL, or Austin, TX</li><li>
WFH: M-F</li></ul>
Travel:<ul><li>
The job may require travel from time-to-time, but not on a regular basis.</li></ul>
Visa Sponsorship: 
<ul><li>
Not Offered</li></ul> 
&quot;Good people beget good people.&quot;- Dr. Thomas Frist, Sr. 
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Data Science Manager WFH opening. Qualified candidates will be contacted for interviews.Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Data Science Manager

ZS Associates

<div>:

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you&rsquo;ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. 
<div></div>
 :
<div>
What you'll do: Advanced Data Science Manager in AI will&hellip;</div> 
<div></div><ul><li>
Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects.</li><li>
Develop and implement data science strategies that align with the overall goals of the AI team and the organization.</li><li>
Drive business and strategy development through project delivery and client relationship management;</li><li>
Develop/sell new business opportunities</li><li>
Direct multiple projects simultaneously, honing analytic and project management skills;</li><li>
Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform;</li><li>
Motivate, coach and serve as a role model for project team members</li><li>
Provide thought leadership and innovation through research and publication.</li></ul><div></div> 
What you&rsquo;ll bring:<ul><li>
PhD degree in Computer Science, Statistics or related discipline;</li><li>
8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute.</li><li>
MBA or Executive MBA (on top of data science education) is preferred</li><li>
Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.);</li><li>
Relevant programming background (e.g. Python/R);</li><li>
Strong understanding of relevant tools/platforms (e.g. cloud platforms such AWS/Azure);</li><li>
Proven track record of business development</li><li>
Agile project planning and project management experience;
</li><li>Team management and skill development experience;
</li><li>Relevant domain knowledge preferred; (healthcare, pharma);</li><li>
Excellent oral and written communication skills;</li><li>
Strong attention to detail, with a research-focused mindset;</li><li>
Excellent critical thinking and problem solving skills
</li><li>Fluency in English</li><li>
Client-first mentality</li><li>
Intense work ethic</li><li>
Collaborative spirit and problem-solving approach</li></ul>
 :
<div>
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you&rsquo;ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.</div></div>

Advanced Data Science Manager

eBay

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.<h2 class="jobSectionHeader">
About the team and the role</h2>
The Focus Categories Decision Sciences team at eBay is seeking an experienced Data Scientist to support our Global Collectibles Product unit. This role is centered on advancing product discovery, measurement, testing, and predictive modeling to enhance targeting capabilities, as well as conducting custom analytics to uncover actionable insights that drive success for our business partners.
You&rsquo;ll help motivate change and improve decision-making through data-driven analyses, deep business understanding, rigorous truth-seeking, and impactful insights.
In this highly visible and cross-functional role, you&rsquo;ll collaborate with Collectibles product and business leaders, as well as teams across the company, to evaluate existing programs, develop new analytical solutions, and identify innovative growth opportunities. You&rsquo;ll be surrounded by a diverse, intellectually curious, and fast-moving team of professionals passionate about making an impact at scale.<h2 class="jobSectionHeader">
What you&rsquo;ll accomplish</h2><ul><li>
Partner with product, business, and analytics customers to understand key initiatives and deliver insights that influence strategic decisions.</li><li>
Lead the development and implementation of predictive models and advanced analytics to improve targeting and measurement across the Collectibles domain.</li><li>
Develop and complete experiments and tests to measure business impact and identify new opportunities for growth.</li><li>
Communicate analytical results clearly, translating complex data findings into actionable recommendations for senior leadership.</li><li>
Serve as a trusted data expert, integrating diverse data sources to uncover trends and patterns that inform business strategy.</li><li>
Contribute to a culture of data excellence and continuous learning within the Decision Sciences team.</li></ul><h2 class="jobSectionHeader"> 
What you&rsquo;ll bring</h2><ul><li>
Exceptional business judgment and strong quantitative problem-solving skills.</li><li>
Proven experience distilling complex analytical findings into clear, action-oriented insights.</li><li>
Strong communication and storytelling abilities across executive and cross-functional audiences.</li><li>
Expertise in building and deploying machine learning models and driving their adoption within business workflows.</li><li>
Proficiency in SQL and either Python or R; strong understanding of data warehouse architecture.</li><li>
Solid grounding in both descriptive and inferential statistics.</li><li>
Experience with data visualization tools such as Tableau.</li><li>
Practical experience in applying modern AI/ML techniques to solve complex business problems, particularly in e-commerce product discovery or personalization.</li><li>
Demonstrated ability to transition ML models from research/prototype to production-ready systems, including proficiency with cloud-based ML platforms.</li><li>
Ability to manage multiple projects and collaborators in a dynamic environment.</li><li>
BS/BA in Statistics, Applied Econometrics, Mathematics, Physics, Computer Science, or a related field; advanced degree preferred.</li><li>
8+ years of relevant professional experience, or 6+ years with a Master&rsquo;s degree.</li></ul> 
A genuine passion for eBay&rsquo;s mission and our vibrant marketplace.
Benefits:
Benefits are an essential part of your total compensation for the work you do every day. Whether you&rsquo;re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal &amp; paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
Here at eBay, we love creating opportunities for others by connecting people from widely a diverse set of backgrounds, perspectives, and geographies. So, being diverse and inclusive isn&rsquo;t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay&rsquo;s Diversity &amp; Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Additional Details
The base pay range for this position is expected in the range below:
$118,800 - $198,100
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. 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.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.</div>

Data Science Manager - Focus Categories

PepsiCo

<div>Overview:
<div>
We&rsquo;re seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution, and adoption of data science initiatives that support our global Strategy and Transformation agenda. You will partner closely with business and technology leaders to identify high-impact opportunities and foster a strong data-driven culture.</div>
Responsibilities:
<ul><li>Lead, mentor, and grow a team of data scientists, providing technical guidance and career development</li><li>
Own the end-to-end delivery of large-scale analytics and machine learning initiatives</li><li>
Define standards and best practices for model development, data pipelines, and ML production workflows</li><li>
Oversee the design, deployment, monitoring, and optimization of machine learning systems in production</li><li>
Partner with business stakeholders to translate strategic goals into data science roadmaps and measurable outcomes</li><li>
Drive adoption of modern techniques, including Generative AI, where they deliver clear business value</li><li>
Communicate technical concepts, progress, and impact effectively to business and technical audiences</li></ul><div>
Compensation and Benefits:</div><ul><li>
The expected compensation range for this position is between $120,300 - $205,150. 
</li><li>
Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. 
</li><li>
Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. 
</li><li>
Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. 
</li><li>
In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.</li></ul>
Qualifications:
<ul><li>Master&rsquo;s Degree in Data Science, Computer Science, Statistics, or equivalent</li><li>
5+ years of experience in data science, with leadership or people-management responsibility</li><li>
Proven experience delivering machine learning solutions using diverse data sources</li><li>
Strong Python skills and ability to guide production-quality ML code</li><li>
Solid understanding of software engineering, data engineering, and MLOps best practices</li><li>
Experience with deep learning frameworks (TensorFlow or PyTorch)</li><li>
Strong foundation in statistical and mathematical modeling</li><li>
Experience with cloud-based and distributed computing platforms</li><li>
Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures</li></ul>
&gt;:
<div>
Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.</div><div></div><div> 
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</div><div></div><div> 
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age.</div><div></div><div> 
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law &amp; EEO is the Law Supplement documents. View PepsiCo EEO Policy.</div><div></div><div> 
Please view our Pay Transparency Statement</div></div>

Data Science Associate Manager

The Home Depot

<div>Position Purpose:
The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. 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 lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
As a Data Science Sr. 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 lead collaboration between 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:<ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program 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; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; 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 lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul> 
Preferred Qualifications:<ul><li>
11+ years of experience in data science, business intelligence, and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
10</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Sr. Manager - Decision Analytics

Visa

<div>
 
 Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
 
 
 
 
 Progress starts with you.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the technical design and hands-on delivery of advanced analytics and machine learning projects across multiple engagements.
 </li>
 <li>
 Own end-to-end analytics execution: problem framing, data exploration, feature engineering, model development, validation, and performance assessment.
 </li>
 <li>
 Act as technical authority on assigned projects, providing oversight, code and model reviews, and quality assurance.
 </li>
 <li>
 Translate complex business problems into clear analytical approaches and scalable solutions.
 </li>
 <li>
 Draft and own detailed analytics scopes, methodologies, and delivery plans for medium-to-large projects.
 </li>
 <li>
 Lead the development and delivery of Generative AI use cases, including prototyping, validation, and production-ready design.
 </li>
 <li>
 Evaluate and apply appropriate GenAI and ML techniques aligned with business value, data constraints, and governance requirements.
 </li>
 <li>
 Ensure analytical outputs meet quality, documentation, timeline, and budget expectations.
 </li>
 <li>
 Continuously improve analytics practices by introducing new methodologies, tools, and best practices.
 </li>
 </ul>
 
 This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
 
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in data science, advanced analytics, or applied machine learning.
 </li>
 <li>
 Strong hands-on experience delivering end-to-end ML or advanced analytics solutions.
 </li>
 <li>
 Demonstrated experience leading or building Generative AI / LLM-based use cases.
 </li>
 <li>
 Undergraduate degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research or equivalent).
 </li>
 <li>
 Postgraduate degree is a strong advantage.
 </li>
 <li>
 Strong proficiency in Python for data analysis and machine learning.
 </li>
 <li>
 Solid experience with SQL for complex data manipulation and analysis.
 </li>
 <li>
 Experience working with Spark or large-scale data processing frameworks.
 </li>
 <li>
 Strong understanding of model evaluation, validation, and analytical QA.
 </li>
 <li>
 Ability to explain complex analytical concepts clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
</div>

Data Science Senior Manager, NALP

<div>Position Purpose:
The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. 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 lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
As a Data Science Sr. 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 lead collaboration between 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:<ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program 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; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; 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 lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul> 
Preferred Qualifications:<ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
10</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Senior Manager, Data Science - Online

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