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Chief Data Scientist Jobs (NOW HIRING)

UMass Memorial Health

Chief Data Officer

Worcester, MA · On-site

They are seeking a Chief Data Officer to provide enterprise leadership for their data and analytics ... Required : • Bachelor's degree in Data Science, Computer Science, Information Systems, Business ...

IDBNY

Chief Data Officer

Manhattan, NY · On-site

$225K - $275K/yr

Chief Data Officer (CDO) Role Overview The Chief Data Officer (CDO) is a senior executive ... Bachelor's degree in Data Science, Computer Science, Business, or related field (Master's or MBA ...

Cordova

Chief Data Governance

Omaha, NE · On-site

Our Client is seeking an experienced Chief Data Governance to lead their data governance efforts ... Requirements Bachelor's degree in Computer Science, Information Technology, or related field 10+ ...

ECS

Data Scientist Lead

Tampa, FL · On-site

Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data ... BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related ...

UMass Memorial Health

Chief Data Officer

Worcester, MA · On-site

Reporting to the Senior Vice President/Chief Transformation Officer, the Chief Data Officer (CDO ... Advance analytics and data science capabilities, including self-service analytics, predictive ...

Noblis

Cleared Chief Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

The Chief Data Architect will lead multi-disciplinary teams in designing cutting-edge data ... Lead and mentor multi-disciplinary teams including data engineers, data scientists, AI/ML engineers ...

Trustly

Chief Data Officer

San Francisco, CA · On-site

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Trustly

Chief Data Officer

New York, NY

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Trustly

Chief Data Officer

New York, NY · On-site

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. This is a remote position ...

Trustly

Chief Data Officer

New York, NY · On-site

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Trustly

Chief Data Officer

San Francisco, CA

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

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All JobsChief Data Scientist Jobs

Chief Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do chief data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for chief data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Chief Data Scientist vs Data Scientist?

AspectChief Data ScientistData Scientist
CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science and leadershipBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic leadership, cross-department collaboration, executive-level decision makingData analysis, model development, data cleaning, and reporting
Industry UsageUsed in organizations with large data teams, strategic data initiativesCommon entry to mid-level data roles across industries

The Chief Data Scientist oversees data strategy and leads data science teams, focusing on high-level insights and organizational impact. Data Scientists perform hands-on data analysis and model building, supporting business decisions. While both roles require strong technical skills, the Chief Data Scientist has a broader strategic and leadership focus compared to the more technical, execution-oriented Data Scientist role.

What are the most common challenges faced by a Chief Data Scientist in aligning data science initiatives with business objectives?

A Chief Data Scientist often faces the challenge of translating complex data science insights into actionable strategies that directly support the organization's business goals. Balancing technical innovation with practical business impact requires close collaboration with stakeholders across departments, including IT, product, and executive leadership. Ensuring data quality, managing cross-functional teams, and fostering a culture of data-driven decision-making are ongoing priorities. Successfully overcoming these challenges enhances both the credibility and impact of the data science function within the organization.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on identifying the most impactful variables or data segments to optimize model performance and efficiency.

What are Chief Data Scientists?

Chief Data Scientists are senior-level professionals responsible for leading an organization's data science strategy and initiatives. They oversee data-driven projects, manage data science teams, and collaborate with other executives to leverage data for business growth and innovation. Their role includes developing advanced analytics models, ensuring data quality, and translating complex data insights into actionable business recommendations. Chief Data Scientists also help establish best practices for data management, ethics, and compliance within the organization.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer or Lead Data Scientist, with salaries exceeding $200,000 annually in many industries. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

How much does a chief data scientist make in the US?

A chief data scientist in the US typically earns between $120,000 and $200,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on experience, industry, company size, and location, with senior roles in large organizations commanding higher pay. Advanced skills in machine learning, data engineering, and leadership are often required for these positions.

What does a chief data scientist do?

A chief data scientist leads an organization's data strategy, overseeing data collection, analysis, and modeling to support business decisions. They often manage data teams, develop advanced analytics, and utilize tools like machine learning and statistical software to extract insights from data.

What are the key skills and qualifications needed to thrive as a Chief Data Scientist, and why are they important?

To thrive as a Chief Data Scientist, you need advanced expertise in data science, statistics, machine learning, and a strong background in computer science or a related field, often supported by a PhD or equivalent experience. Mastery of tools such as Python, R, SQL, big data platforms (like Hadoop or Spark), and experience with data visualization and cloud computing are typically required. Exceptional leadership, communication, and strategic thinking skills help set top professionals apart in this role. These skills and qualities are crucial for driving data-driven decision-making and aligning analytics initiatives with organizational goals.
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What cities are hiring for Chief Data Scientist jobs? Cities with the most Chief Data Scientist job openings:
What states have the most Chief Data Scientist jobs? States with the most job openings for Chief Data Scientist jobs include:
What job categories do people searching Chief Data Scientist jobs look for? The top searched job categories for Chief Data Scientist jobs are:
Chief Data Scientist jobs near you
Infographic showing various Chief Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 89% Full Time, 8% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist Lead with Security Clearance

Data Scientist Lead with Security Clearance

Venatore

Tampa, FL • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

About Us
Venatôre is a mission-driven government contractor based in Tampa, FL, supporting federal and civilian agencies with secure cutting-edge technology, cybersecurity, and mission support services. Our teams are trusted in demanding environments because we integrate with client missions, combining technical depth, operational precision, and innovative thinking to deliver meaningful results where they matter most. About the Job
The Data Scientist Lead is responsible for leading the organization's data science, data engineering, and analytics functions in support of mission-critical military operations. This senior technical leadership role oversees the design, development, and operationalization of advanced data analytics, artificial intelligence, and machine learning capabilities that enhance data-driven decision-making across the command. Working closely with senior government stakeholders, including the Chief Data Officer (CDO) and Executive Data Officer (XDO), the Data Scientist Lead translates operational requirements into scalable technical solutions while providing strategic direction, technical oversight, and mentorship to a multidisciplinary team. This position requires the ability to manage multiple priorities in a dynamic, mission-focused environment and may require occasional domestic and international travel. Responsibilities Leadership & Strategic Oversight * Lead and provide technical oversight for data engineering, data science, analytics, and predictive analytics teams in support of operational mission objectives.
* Establish strategic priorities for data management, advanced analytics, AI/ML, and data engineering initiatives.
* Serve as the senior technical advisor on data science, machine learning, and analytics capabilities.
* Mentor and develop technical staff while promoting best practices, innovation, and continuous improvement.
* Manage multiple concurrent projects, priorities, and deliverables in a fast-paced operational environment.
Data Science & Artificial Intelligence * Lead the development, validation, deployment, and operationalization of advanced statistical models and AI/ML solutions.
* Apply supervised, unsupervised, reinforcement learning, and generative AI techniques, including Large Language Models (LLMs) and multimodal AI, to solve complex mission challenges.
* Guide the full data science lifecycle, including data exploration, feature engineering, model development, validation, deployment, and performance monitoring.
* Evaluate emerging AI and machine learning technologies for mission applicability and operational effectiveness.
Data Engineering & Architecture * Oversee the design, implementation, and maintenance of secure, scalable, and fault-tolerant data pipelines supporting structured and unstructured data.
* Direct ETL/ELT processes, data integration, data warehousing, and modern data lake/lakehouse architectures.
* Ensure data quality, governance, accessibility, and compliance throughout the data lifecycle.
* Support enterprise data management strategies and architecture modernization initiatives.
Stakeholder Engagement & Mission Support * Collaborate with the USCENTCOM Chief Data Officer (CDO), Operations Directorate Executive Data Officer (XDO), and other government stakeholders to define operational data requirements.
* Participate in governance boards, technical working groups, and strategic planning forums.
* Translate complex technical findings into clear, actionable recommendations for senior military leadership and non-technical stakeholders.
* Ensure analytical capabilities directly support operational planning, mission execution, and strategic decision-making.
Analytics & Technology * Guide the use of SQL, Python, R, and other analytical tools to develop data-driven solutions.
* Oversee implementation and utilization of visualization platforms such as Power BI, Tableau, Qlik, Palantir Foundry, and Maven Smart System (MSS).
* Support enterprise analytics platforms, distributed data processing technologies, and database environments including Apache Spark, Databricks, Hadoop, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server.
* Promote adoption of modern analytics methodologies and industry best practices.
Required Qualifications * U.S. Citizenship is required.
* Active Top Secret security clearance with SCI eligibility.
* Bachelor's degree in Data Science, Analytics, Computer Science, Information Technology, or a related technical discipline.
* More than 10 years of progressively responsible experience in data science, analytics, or data engineering, including significant leadership experience.
* Demonstrated experience supporting Military, Federal Government, or Intelligence Community organizations.
* Proven experience gathering, implementing, and managing data science requirements for senior government stakeholders.
* Expertise developing and deploying advanced AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
* Advanced proficiency in Python and/or R for data engineering, automation, analytics, and machine learning development.
* Experience designing and maintaining ETL/ELT pipelines, data warehouses, and data lake/lakehouse environments.
* Experience with enterprise data visualization and analytics platforms, including Power BI, Tableau, Qlik, Palantir Foundry, or Maven Smart System (MSS).
* Experience working with distributed data processing technologies such as Apache Spark, Databricks, and Hadoop.
* Experience administering or utilizing relational database platforms including SQL Server, Oracle, PostgreSQL, and MySQL.
* Strong written and verbal communication skills with demonstrated experience briefing senior military or government leadership.
* Ability to travel occasionally to domestic and international locations.
Preferred Qualifications * Master's degree in Data Science, Computer Science, Analytics, Information Technology, or another related technical discipline.
* Experience implementing enterprise data and analytics solutions within Azure, AWS, or Google Cloud environments.
* Strong knowledge of Department of Defense data strategies, governance frameworks, cybersecurity requirements, and information assurance standards.
* Experience with ESRI ArcGIS technologies and geospatial analytics.
* Demonstrated success leading cross-functional technical teams in fast-paced operational environments.
* Experience supporting AI/ML modernization initiatives within Department of Defense or Intelligence Community organizations.
Benefits
Venatôre offers a competitive benefits package designed to support the well-being of our employees, including: * Paid Time Off (PTO)
* 10 Federal Holidays
* 401(k) with company matching
* Medical, dental, and vision insurance
* Paid military leave
Venatôre is a woman owned small business and an equal opportunity employer. We consider qualified applicants without regard to disability or protected veteran status.

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