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Manager Of Data Science Jobs (NOW HIRING)

Sees

Manager of Data Analytics

San Francisco, CA

$200K/yr

Lead a team of analysts and engineers focused on Data Science and Business Intelligence by managing support engineer workload and ensuring comprehensive training and documentation. Oversee ...

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AIG

Manager Data Science, GenAI

Atlanta, GA

Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new ... How you will create impact As a Manager of Data Science at AIG, you will play a critical role in ...

Lennar

Sr Manager, Data Science

Irving, TX

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities ...

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Manager Of Data Science information

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$31K

$97.1K

$172K

How much do manager of data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for manager of data science in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

How does a Manager of Data Science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

What are the key skills and qualifications needed to thrive as a Manager of Data Science, and why are they important?

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is a Manager of Data Science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

What does a data scientist manager do?

A data scientist manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often utilizing tools like Python, R, or SQL, and may require leadership and communication skills alongside technical expertise.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-demand regions may earn higher compensation, often supplemented with bonuses and stock options.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Director of Data Science, Chief Data Officer, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with bonuses and stock options. These roles typically require extensive experience, advanced skills in machine learning, big data tools, and leadership capabilities.
What cities are hiring for Manager Of Data Science jobs? Cities with the most Manager Of Data Science job openings:
What are the most commonly searched types of Of Data Science jobs? The most popular types of Of Data Science jobs are:
What states have the most Manager Of Data Science jobs? States with the most job openings for Manager Of Data Science jobs include:
Manager Of Data Science jobs near you
Manager of Data Analytics

Manager of Data Analytics

Sees

San Francisco, CA

$200K/yr

Full-time

Posted 2 days ago

Job description

Work is Sweet!

'Quality without Compromise' is not just a motto at See's Candies. It is the most important ingredient in our recipe for success. See's Candies has been in business since 1921 and maintains a reputation for producing the highest quality candy and providing superior customer service.

See's is a leader in the confectionery industry with over 250 retail shops across the USA, a growing e-commerce business, and expanding opportunities internationally. We are seeking friendly, enthusiastic individuals who are passionate about helping us grow and thrive in our second century.

Job Description Summary:

Position: Manager of Data Analytics
Location:345 Schwerin Street, San Francisco, CA 94134

Job Description:

Responsibilities: Oversee the development, implementation, and maintenance of the company's enterprise-wide analytics technology, ensuring optimal performance and innovation. Lead a team of analysts and engineers focused on Data Science and Business Intelligence by managing support engineer workload and ensuring comprehensive training and documentation. Oversee development and build advanced analytics capabilities using statistical modeling, machine learning, AI, and data mining techniques. Lead the definition of conceptual, logical, and physical data models. Develop and implement data management strategies, policies, and procedures and define roadmaps for the technical stack underpinning the data platform, ensuring continuous evolution of data capabilities. Establish processes for data acquisition, integration, storage, and accessibility while providing senior technical capabilities and hands-on expertise in data pipeline management and optimization. Develop and maintain comprehensive documentation for vendor-supported systems and processes, aligning technology with business objectives and identifying opportunities for data to add business value. Partner with cross-functional teams to leverage data for business performance, define and document architecture for data products, and drive innovation in analytics techniques and tools. Optimize technology costs and support services against budget, establishing threshold alerts on all technology resources to manage costs effectively. Facilitate effective communication between internal teams and external vendors, ensuring smooth onboarding and offboarding processes, including knowledge transfer. Position also supervises 4 employees.

Educ./experience: Master's degree or foreign equivalent in Computer Science or a related field, plus two (2) years of post-baccalaureate experience as a Data Architect, Data Engineer, or related position involving data warehouse design and ETL/ELT processes. Experience must include data governance; data integration; cloud migration; Spark; Azure Databricks; and data warehousing. Position also supervises 4 employees.

To apply, please email your resume to: jogomez@sees.com .

Salary range: $200,907/year

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See's is an EOE
See's will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance #131192 and Los Angeles Municipal Code 189.00).

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