data science team lead

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
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.<br>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><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><p><b><br>
Preferred Qualifications:</b></p><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><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p></p>

Data Science Sr. Manager - Decision Analytics

Waystar

<div><div>ABOUT THIS POSITION</div><div></div>
As the Sr. Manager, Data Science, you will be a technical and operational leader reporting to the VP of Data Science. Your primary responsibility will be to lead a team of data scientists, driving the development and deployment of innovative data science solutions that support Waystar&rsquo;s AltitudeAI&trade; platform and healthcare revenue cycle management (RCM) products. This role requires strong handson expertise in machine learning, a passion for mentoring, and the ability to deliver productiongrade solutions that improve customer outcomes in a regulated environment. The ideal candidate excels in dynamic, fastmoving environments and is comfortable creating clarity where direction may be shifting or evolving.<div></div><div>
WHAT YOU'LL DO</div><div><div>
Team Leadership &amp; Project Execution</div></div><div><ul><li><div>
Lead, mentor, and develop a team of data scientists, fostering a culture of technical excellence, collaboration, and continuous learning.</div></li></ul></div><div><ul><li><div>
Manage daytoday operations of data science initiatives, ensuring timely delivery and alignment with strategic and product objectives.</div></li></ul></div><div><ul><li><div>
Oversee the development, implementation, and monitoring of machine learning models, ensuring accuracy, compliance, and reliability in production settings.</div></li></ul></div><div><ul><li><div>
Collaborate closely with product, engineering, and analytics teams to integrate data science solutions into core platform offerings.</div></li></ul></div><div><ul><li><div>
Ensure structured communication and alignment across crossfunctional teams, helping drive clarity and consistency in direction and decisionmaking.</div></li></ul></div><div><div>
Technical Execution &amp; Innovation</div></div><div><ul><li><div>
Apply advanced machine learning techniques (classification, regression, clustering, NLP, LLMs, anomaly detection) to solve business and clinical challenges in healthcare RCM.</div></li></ul></div><div><ul><li><div>
Develop and maintain robust model governance processes, including versioning, monitoring, and drift detection.</div></li></ul></div><div><ul><li><div>
Support the evaluation and adoption of new technologies and tools to enhance data science capabilities.</div></li></ul></div><div><ul><li><div>
Participate in the design and execution of A/B tests and experiments to measure the impact of deployed models.</div></li></ul></div><div><ul><li><div>
Effectively manage ambiguity and navigate evolving requirements to ensure highquality technical outcomes.</div></li></ul></div><div><div>
Collaboration &amp; Communication</div></div><div><ul><li><div>
Communicate technical findings, project status, and risks to stakeholders, including product managers and engineering leads.</div></li></ul></div><div><ul><li><div>
Contribute to the development of technical documentation and best practices for the data science team.</div></li></ul></div><div><ul><li><div>
Support the team&rsquo;s professional development through coaching, training, and knowledge sharing.</div></li></ul></div><div></div><div>
WHAT YOU'LL NEED</div><div><ul><li><div>
Master&rsquo;s degree in Computer Science, Statistics, Math, Data Science, or a related quantitative field.</div></li></ul></div><div><ul><li><div>
7+ years of experience in data science or machine learning, with at least 2 years in a leadership or team lead role.</div></li></ul></div><div><ul><li><div>
Handson expertise in the full machine learning lifecycle, including model development, deployment, and monitoring.</div></li></ul></div><div><ul><li><div>
Experience with deep learning, NLP, and generative AI techniques (e.g., transformers, LLMs) preferred.</div></li></ul></div><div><ul><li><div>
Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, XGBoost).</div></li></ul></div><div><ul><li><div>
Experience working with healthcare, financial, or claims data is a plus.</div></li></ul></div><div><ul><li><div>
Excellent communication and collaboration skills.</div></li></ul></div><div></div><div><div>
ABOUT WAYSTAR</div><div></div><div>
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.</div><div>
Waystar&rsquo;s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic &amp; fun.</div><div></div><div>
Waystar products have won multiple Best in KLAS&reg; or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book&trade; surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit <div>waystar.com</div> or follow <div>@Waystar</div> on Twitter.</div></div><div></div><div>
WAYSTAR PERKS</div><ul><li>
Competitive total rewards (base salary + bonus, if applicable)</li><li>
Customizable benefits package (3 medical plans with Health Saving Account company match)</li><li>
We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays</li><li>
Paid parental leave (including maternity + paternity leave)</li><li>
Education assistance opportunities and free LinkedIn Learning access</li><li>
Free mental health and family planning programs, including adoption assistance and fertility support</li><li>
401(K) program with company match</li><li>
Pet insurance</li><li>
Employee resource groups</li></ul><div></div><div>
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</div><div>
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div></div>

Sr Manager, Data Scientist

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><b>
Compensation and Benefits:</b></div><ul><li>
The expected compensation range for this position is between $120,300 - $205,150.<br>
</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.<br>
</li><li>
Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually.<br>
</li><li>
Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.<br>
</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><br>
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><br>
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age.</div><div></div><div><br>
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><br>
Please view our Pay Transparency Statement</div></div>

Data Science Associate Manager

Peraton

<div><div><h5 class="jobSectionHeader"><b>ABOUT PERATON</b></h5><p>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p></div><div><h5 class="jobSectionHeader"><b>
ABOUT THE ROLE</b></h5><div><div>
Peraton seeks a <b>Principal Data Scientist</b> to support Department of Defense Cyber Defense Command (DCDC) with DCO AI Cyber Security. Location: Fort Meade, MD. In this role, you will serve as technical lead for the Data Science Team, providing strategic direction for all advanced analytics, AI/ML, and predictive modeling initiatives supporting DCDC enterprise mission requirements.</div><div></div><div><br>
Primary Responsibilities</div><ul><li>
Lead team of 6 data scientists, ML engineers, and operations research analysts</li><li>
Design and oversee AI/ML model development including NLP and network analysis</li><li>
Direct campaigns of learning and experimentation for analytic performance evaluation</li><li>
Develop predictive, prescriptive, and descriptive models for DCO-IDM operations</li><li>
Ensure analytics alignment with ASOM and Analytic Crosswalk framework</li><li>
Present analytic findings and recommendations to senior leadership</li></ul></div></div><div><h5 class="jobSectionHeader"><b>
QUALIFICATIONS</b></h5><div><div>
Required Qualifications:</div><ul><li>
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.</li><li>
Expert proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>
Deep experience with NLP, network analysis, and time-series forecasting</li><li>
Strong background in statistical modeling and experimental design</li><li>
Experience with big data platforms (Hadoop, Spark)</li><li>
5+ years leading technical teams in DoD/IC environment</li><li>
U.S Citizenship required</li><li>
DoD TS with ability to obtain/maintain SCI clearance</li></ul><div>
 Preferred Qualifications:</div><ul><li>
AWS/Azure ML certifications are preferred</li><li>
CISSP certification is preferred</li><li>
Master's degree is required; PhD is preferred in Data Science, Statistics, Computer Science, or related field</li><li>
12 years of relevant experience</li></ul></div></div><div><h5 class="jobSectionHeader"><b>
DETAILS</b></h5><div><p>
<b>Target Salary Range:</b> $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
</p></div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
</p></div><div><p>
<b>Application Duration Statement:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
</p></div><p><b>
EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

PRINCIPAL DATA SCIENTIST

<div><p><b>Position Purpose:</b></p><p>
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.<br>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><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><p><b><br>
Preferred Qualifications:</b></p><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><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p></p>

Senior Manager, Data Science - Online

ZS Associates

<div>:
<p><b>
ZS</b> 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 <b>bringing together data, science, technology</b> and <b>human ingenuity</b> 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 <b>client-first mentality</b> 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.</p><br>
<div></div>
 :
<div><b>
What you'll do: </b><b>Advanced Data Science Manager</b> in AI will&hellip;</div><br>
<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><p><b><br>
What you&rsquo;ll bring:</b></p><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

Work From Home

<p></p><div><h5 class="jobSectionHeader"><b>Introduction</b></h5><p>
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.</p><h5 class="jobSectionHeader"><b>
Benefits</b></h5><p>
HCA offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:</p><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<br>
</li><li>
401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)<br>
</li><li>
Employee Stock Purchase Plan with 10% off HCA Healthcare stock<br>
</li><li>
Family support through fertility and family building benefits with Progyny and adoption assistance.<br>
</li><li>
Referral services for child, elder and pet care, home and auto repair, event planning and more<br>
</li><li>
Consumer discounts through Abenity and Consumer Discounts<br>
</li><li>
Retirement readiness, rollover assistance services and preferred banking partnerships<br>
</li><li>
Education assistance (tuition, student loan, certification support, dependent scholarships)<br>
</li><li>
Colleague recognition program<br>
</li><li>
Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)<br>
</li><li>
Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.</li></ul><p>
Learn more about Employee Benefits</p><p><i>
Note: Eligibility for benefits may vary by location.</i></p><p><br>
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.</p><h5 class="jobSectionHeader"><b>
Job Summary and Qualifications</b></h5><p></p><p>
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.</p><p>
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.</p><p>
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.</p><p>
What You'll Do:</p><p></p><ul><li><p>
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.</p></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><p></p><h6 class="jobSectionHeader"><b>
What qualifications you will need:</b></h6><p></p><ul><li><p>
Bachelor&rsquo;s Degree in Computer Science or related field</p></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><p>
Preferred Requirements</p><p></p><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><p>
Work Location/Schedule:</p><p></p><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><p></p><p>
Travel:</p><p></p><ul><li>
The job may require travel from time-to-time, but not on a regular basis.</li></ul><p>
Visa Sponsorship:</p><br>
<p></p><ul><li>
Not Offered</li></ul><p></p><p><br>
&quot;Good people beget good people.&quot;- Dr. Thomas Frist, Sr.<br>
HCA Healthcare Co-Founder</p><p>
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!</p><p><i>
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.</i></p></div>

Data Science Manager

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