data science manager

The Home Depot

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% 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 establish high level strategy and optimize talent management</li><li>
20% 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 typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; 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></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
9+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
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><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Experience managing and growing team members in a professional setting</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>
8</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 Manager - GenBI

BTI Executive Search Pte Ltd

<div><div><div><div><div>United States of America
</div><div></div><div>Full time
</div></div></div></div><div><div><div>Data Science Manager
Location: Kuala Lumpur, Malaysia 
Salary Range: MYR 16,000 &ndash; 18,000 
Employment Type: Full-time / Permanent
Why Apply
<ul><li>Shape the analytics roadmap regionally
</li><li>Build a team that people trust
</li><li>Turn data into clear decisions
</li></ul>About the Role
This role leads the data science function within a shared services setup, owning analytics and ML initiatives from problem definition through deployment. Based in Kuala Lumpur, you&rsquo;ll partner closely with business leaders to translate data into measurable business outcomes.
About the Client
Our client is a large retail organisation with established operations across Southeast Asia, supporting multiple business units through shared services. They are actively investing in data, automation, and advanced analytics to improve decision-making, efficiency, and long-term scalability.
Responsibilities
<ul><li>Lead, mentor, and grow a team of Data Scientists and Analysts, building strong in-house capability
</li><li>Set the data science roadmap and prioritise initiatives based on business impact and value
</li><li>Own the end-to-end machine learning lifecycle, including model development, deployment, and monitoring
</li><li>Translate complex business problems into clear analytics and ML requirements
</li><li>Oversee scalable data pipelines, ETL processes, and feature engineering approaches
</li><li>Ensure data quality, governance, and responsible use of analytics and ML models
</li><li>Partner with business stakeholders to define KPIs and measure success
</li><li>Present insights, model performance, and recommendations to non-technical audiences
</li><li>Identify opportunities for automation, optimisation, and cost savings through analytics
</li></ul>Requirements
<ul><li>Bachelor&rsquo;s degree in a quantitative field; Master&rsquo;s degree preferred
</li><li>7+ years of experience in data science or AI/ML , with at least 3 years in a leadership role
</li><li>Proven track record delivering machine learning solutions with measurable business impact
</li><li>Strong grounding in statistics, predictive modelling, and machine learning techniques
</li><li>Hands-on experience with Python or R, and strong SQL capability
</li><li>Exposure to cloud platforms (AWS, Azure, or GCP) and modern data architectures
</li><li>Experience working with business stakeholders and influencing decision-makers
</li><li>Strong communication skills, with the ability to explain complex topics clearly
</li></ul></div><div><div>Consultant
<div></div><div><div><div><div>Jeevan.Ek@btiexecutivesearch.com</div></div></div></div></div></div><div><div><div>
Reference number:</div>
579492
</div><div><div>Profession:</div></div><div><div>
Company:</div>
BTI Executive Search</div><div><div>
Date posted:</div>
23rd Apr, 2026</div></div></div></div></div>

Data Science Manager New

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>
 : Advanced Data Science Manager
Salary: $215000 to $255000 per year

Location: Evanston, IL and various, unanticipated locations throughout the United States.

Benefits: Comp package offers min/max salary + COLA, leave policies, bonus incentives, relo, med/den/life ins, retirement benefits.

Job Role and Responsibilities: Directly oversee, manage, and provide technical and quantitative guidance to junior team members, including degreed Associates, Associate Consultants and Consultants in the United States using knowledge of an advanced level of skill in data science, business analytics, quantitative methodologies, algorithms and data structures, modeling, and statistical analysis (15%). Direct all aspects of data science-oriented project acquisition and project management using business analytics and/or scientific software and operating systems while applying mathematical and deductive reasoning (15%). Liaise with Project Leadership to define the project scope and budget and develop data analytics strategies using Big Data, advanced analytics, and algorithms, including text mining, social listening, recommended systems or predictive modeling (15%). Manage client relationships to drive new business development and ensure long-term strategic partnerships (10%). Manage both internal and external team communications, including directing internal team status meetings and communicating any changes in deadlines, scope, and timing with client project managers (10%). Provide data analytics innovation within projects and practice areas, advising internal groups and leading initiatives on business operations excellence (10%). Develop data science capabilities and offerings that create scale and advance ZS's analytic platform using Java, Python, R, or related programming language as well as Agile project planning and project management (15%). Supervise business and strategy development activities from a data science/statistics perspective and cultivate and expand client relationships (5%). Direct recruiting, training, coaching, mentoring, HR-related policies (leave, Performance Improvement Plans, etc.) for subordinates and provide developmental opportunities for team members (5%). May work in various, unanticipated locations throughout the United States. Position may require up to 25% domestic travel.
Contact: Apply online or contact ZS at careers@zs.com referencing the Req ID above. Position eligible for Employee Referral Program (with incentives). Multiple openings.

Qualifications: Master's degree, or foreign degree equivalent, in Applied Mathematics, Engineering, Business Analytics or a related field and four (4) years of data analysis experience. Alternatively, employer will accept a Bachelor's degree in Applied Mathematics, Engineering, Business Analytics, or a related field and six (6) years of data analysis experience.
With either requirement, position requires experience with: 1.Agile project planning and project management; 2.Java, Python, R, or related programming language; 3.Big Data, advanced analytics, and algorithms, including text mining, social listening, recommender systems or predictive modeling; 4.Hadoop ecosystem or related database system; and 5.Team management. :

How you&rsquo;ll grow:<ul><li>
Cross-functional skills development &amp; custom learning pathways</li><li>
Milestone training programs aligned to career progression opportunities</li><li>
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions</li></ul> 
Perks &amp; Benefits:
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. 
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. 
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. 
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems&mdash;the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. 
If you&rsquo;re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. 
 
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. 
 
To complete your application: 
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. 
 
NO AGENCY CALLS, PLEASE. 
 
Find Out More At: 
www.zs.com</div>

Advanced Data Science Manager - RC26 (Evanston, IL)

<div>Position Purpose:
The Data Science Sr. Manager - GenBI 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>

Data Science Senior Manager - Generative BI

<div>Position Purpose:
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. 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.
 
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, 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. 
Key Responsibilities:<ul><li>
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</li><li>
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</li><li>
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</li><li>
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</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above</li><li>
This position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% 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></ul> 

Preferred Qualifications:<ul><li>
PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
</li><li>6+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Proficient in a modern scripting language (preferably Python)</li><li>
Proficient 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><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</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>
5</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>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</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 Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Sr Data Scientist - Supply Chain

Hill Physicians Medical Group

<div>We&rsquo;re delighted you&rsquo;re considering joining us!
At Hill Physicians Medical Group, we&rsquo;re shaping the healthcare of the future: actively managed care that prevents disease, supports those with chronic conditions and anticipates the needs of our members.
Join Our Team!
Hill Physicians has much to offer prospective employees. We&rsquo;re regularly recognized as one of the &ldquo;Best Places to Work in the Bay Area&rdquo; and have been recognized as one of the &ldquo;Healthiest Places to Work in the Bay Area.&rdquo; When you join our team, you&rsquo;re making a great choice for your professional career and your personal satisfaction.
DE&amp;I Statement:
At PriMed, your uniqueness is valued, celebrated, encouraged, supported, and embraced. Whatever your relationship with Hill Physicians, we welcome ALL that you are.
We value and respect your race, ethnicity, gender identity, sexual orientation, age, religion, disabilities, experiences, perspectives, and other attributes. Our celebration of diversity and foundation of inclusion allows us to leverage our differences and capitalize on our similarities to better serve our communities. We do it because it's right!
Job Description:
The Data Science Manager helps lead the department&rsquo;s provision of analytical expertise in support of our organization&rsquo;s clinical operations, financial performance, and population health and to address health service problems with innovative data-driven solutions. They lead and empower their teams to extract valuable insights from data, solve complex business problems, and drive data-driven decision making across the organization. They bridge the gap between technical expertise and business needs, ensuring projects deliver impactful results.
RESPONSIBILITIES:
Management and leadership<ul><li>
Collaborate in creation of a high-spirited working environment that fosters learning, collaboration, respect, and positive morale.</li><li>
Participate in development and implementation of departmental goals and initiatives.</li><li>
Prioritize projects, allocate staff to ensure balanced workloads, monitor progress, communicate updates, and adapt as needed, consistent with departmental and organizational goals.</li><li>
Participate in recruitment, selection, on-boarding, training, and professional growth of staff, serving as role model and mentor to promote professionalism.</li><li>
Define performance expectations and hold subordinates accountable; ensure adherence to organizational policies; conduct performance assessments to facilitate achievement of individual and organizational goals.</li><li>
Participate in preparation and monitoring of the departmental budget.</li></ul>
Expertise in Action<ul><li>
Provide analytical support for strategic management efforts and initiatives that may impact the clinical quality and financial performance of the physician network.</li><li>
Guide staff in appropriate analytical study design and identification of decision alternatives through the proper framing of customers&rsquo; questions, compilation and cleaning of data, model building, validation, and interpretation of results, all consistent with professional standards.</li><li>
Design analytic plans and lead evaluations of clinical impact and ROI of quality improvement and utilization interventions.</li><li>
Lead development, validation, and maintenance of internally-built or vendor provided machine learning algorithms with quality control checks to improve upon care delivery programs</li><li>
Create complex models utilizing large databases for analysis and forecasting and synthesize results in support of organizational decision-making.</li><li>
Work with advanced graphic tools, including dashboards and other visual displays, to provide clear and insightful views of organizational performance.</li><li>
Participate in efforts to establish and maintain equitable and fiscally responsible provider compensation strategies that are aligned with organizational goals.</li><li>
Provide consultation to internal stakeholders in understanding and responding to HPMG performance as measured by external bodies, e.g., health plans and the Integrated Healthcare Association, as well as variations in internal clinical and financial metrics.</li><li>
Maintain expertise in clinical and financial performance metrics; stay abreast of industry trends and share best practices within and beyond the department.</li><li>
Identify tools or processes that improve team efficiency and effectiveness, and oversee their integration into workflows.</li></ul>
Collaboration<ul><li>
Collaborate with cross-functional teams in developing and deploying reporting tools to meet the broad spectrum of analytical needs across our delivery system.</li><li>
Promote and implement improvements to workflow procedures and/or system configuration modifications.</li><li>
Facilitate integration of population health analytics into medical management and quality improvement programs; optimize recurring reporting processes to inform existing and emerging care delivery systems; develop processes and reports that can be turned over to end-users&rsquo; control whenever possible.</li><li>
Teach internal and external stakeholders about appropriate use of standardized reports, analytical approaches to population management and business problems, and program evaluation.</li><li>
Participate in and improve the organization&rsquo;s quality assurance procedures.</li><li>
Provide analytical support and expertise to multiple committees and workgroups of Hill Physicians and partner organizations working to understand their needs and translate them into actionable data science solutions.</li></ul>
QUALIFICATIONS:
Required<ul><li>
Master&rsquo;s degree in healthcare, informatics, statistics, public health, or related field with coursework in quantitative analysis or 3 years professional analytics-related experience.</li><li>
A minimum of 3-5 years managerial experience and 5 years of experience in healthcare analytics.</li><li>
Experience in managing projects, developing recommendations with appropriate levels of supporting analysis, and participating in senior leadership discussions.</li><li>
Ability to identify key business issues and contribute to strategic and tactical plans.</li><li>
Demonstrated ability to facilitate consensus across functional, departmental and organizational boundaries, to relate to diverse communities, to integrate diverse perspectives, and to promote a positive workplace culture.</li><li>
Working knowledge of contractual, administrative, and operational issues related to managed care organizations and physician groups.</li><li>
Proficiency in the creation of complex analytical models, trend analysis, report design and development.</li><li>
Demonstrated ability to work independently and to function as an integral part of a team in a rapidly changing work environment, frequently operating without direct supervision.</li><li>
Demonstrated ability to exercise good judgment, prioritize multiple projects and problem-solve under tight deadlines and resource constraints.</li><li>
Excellent written and interpersonal communication skills and presentation skills, including ability to present complex technical concepts in a clear, concise manner to audiences with varying levels of technical understanding.</li><li>
Proficiency in analyzing a wide array of data types and sources (medical and pharmacy claims, clinical process and outcome data, risk scoring tools, social determinants of health)</li><li>
Proficiency in querying languages such as SQL to write and execute complex queries</li><li>
Experience with advanced analytic programs/languages such as SAS or R</li><li>
Experience with advanced data visualization tools and techniques such as Tableau, PowerBI or GIS software (ArcGIS)</li><li>
Knowledge of various study design and implementation strategies</li><li>
Knowledge of EPIC electronic health records data structures</li><li>
Experience with machine learning techniques</li></ul>
Additional Information:
Salary: $134,000 - $179,000 Annual
Hill Physicians is an Equal Opportunity Employer</div>

Manager, Population Health Analysis - 26-06

Duta Basis Technologies LLC

Job Title: Analytics ManagerAbout the RoleDuta Basis Technologies LLC is seeking a highly skilled Analytics Manager to lead data-driven decision-making across business operations. This is a high-impact role where you will transform raw data into strategic insights that guide executive decisions, improve operational efficiency, and drive business growth.If you are passionate about analytics, storytelling with data, and building scalable reporting systems&mdash;this role offers strong growth potential in a modern, tech-driven environment.Why This Role is Attractive<ul><li>Opportunity to build and lead analytics frameworks from the ground up</li><li>Direct influence on business strategy and executive decision-making</li><li>Exposure to modern BI tools, cloud platforms, and enterprise data systems</li><li>High-growth environment with autonomy and leadership visibility</li><li>Competitive compensation with performance-based growth opportunities</li></ul>Key Responsibilities<ul><li>Lead end-to-end data analytics strategy and reporting frameworks</li><li>Manage BI dashboards and data visualization tools (Power BI, Tableau, or similar)</li><li>Analyze large datasets to identify trends, risks, and business opportunities</li><li>Collaborate with leadership, finance, operations, and IT teams</li><li>Design KPI frameworks and performance tracking systems</li><li>Ensure data accuracy, integrity, and governance standards</li><li>Build and mentor a small analytics/data team (as company scales)</li><li>Translate complex data into clear business insights and presentations</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or related field</li><li>5+ years experience in data analytics, BI, or business intelligence roles</li><li>Strong experience with SQL and data visualization tools (Power BI / Tableau / Looker)</li><li>Experience with Excel advanced modeling and reporting</li><li>Understanding of data warehousing and ETL processes</li><li>Strong communication and presentation skills</li><li>Ability to work independently and handle multiple stakeholders</li></ul>Nice to Have:<ul><li>Experience in cloud platforms (AWS, Azure, or GCP)</li><li>Experience in Python or R for data analysis</li><li>Previous leadership or team management experience</li></ul>What We OfferWe believe in rewarding talent with meaningful growth opportunities and a supportive environment where your work truly matters.<ul><li>Competitive salary package (based on experience)</li><li>Performance-based bonuses</li><li>Career growth into Head of Analytics / Data Strategy roles</li><li>Exposure to international business operations</li><li>Supportive and collaborative work environment</li></ul>About the CompanyDuta Basis Technologies LLC is a growing technology and data-driven solutions company focused on building scalable systems, analytics capabilities, and digital transformation initiatives. We work with modern tools and methodologies to help organizations make smarter, faster decisions through data.How to ApplyIf you are ready to take ownership of impactful analytics work and grow into a leadership role, we would love to hear from you.Apply now with your CV and a brief summary of your analytics experience.Job Type: Full-timePay: RO1,800.000 - RO3,200.000 per monthWork Location: In person

Analytics Manager

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