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Bloomberg Data Scientist Jobs (NOW HIRING)

Bluefish AI

Senior Data Scientist

New York, NY · On-site

Bluefish is seeking a full-stack Senior Data Scientist who thrives in fast-paced environments and ... Additional investors include Crane Venture Partners, Swift Ventures, and Bloomberg Beta. We are a ...

Costco

IT Data Scientist

Issaquah, WA · On-site

... Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its ... Data Scientists are responsible for driving insights and informing decision making to enhance the ...

Costco

IT Data Scientist

Issaquah, WA · On-site

... Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its ... Data Scientists are responsible for driving insights and informing decision making to enhance the ...

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All JobsBloomberg Data Scientist Jobs

Bloomberg Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do bloomberg data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for bloomberg 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 Bloomberg Data Scientist vs Bloomberg Data Analyst?

AspectBloomberg Data ScientistBloomberg Data Analyst
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires experience with machine learningDegree in Business, Economics, or related field; focus on data interpretation and reporting
Work EnvironmentCollaborates with data engineering and software teams on complex modelsWorks with business units to analyze data and generate reports
Employer & Industry UsageFinancial services, investment firms, tech companiesFinancial institutions, trading firms, market research

Bloomberg Data Scientists focus on developing advanced models and algorithms to extract insights from large datasets, often requiring programming and statistical skills. Bloomberg Data Analysts primarily interpret data, generate reports, and support decision-making processes. While both roles work within the financial industry, their responsibilities and skill sets differ significantly.

How much does a data scientist at Bloomberg make?

A data scientist at Bloomberg typically earns an average salary ranging from $100,000 to $130,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses and benefits, with proficiency in programming languages like Python and experience with financial data analysis being advantageous.

How do Bloomberg Data Scientists typically collaborate with financial analysts and engineers on projects?

Bloomberg Data Scientists work closely with both financial analysts and engineers to deliver data-driven solutions. They often collaborate with analysts to understand financial market trends and define project goals, ensuring that developed models address real business needs. On the technical side, Data Scientists partner with engineers to deploy scalable models and integrate them into Bloomberg's platforms. This cross-functional teamwork is essential for translating complex analytics into impactful products used by Bloomberg's clients.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including for roles like Bloomberg Data Scientist. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding data analysis tools. Many professionals transition into data science later in their careers and find opportunities based on their expertise and adaptability.

What does a Bloomberg Data Scientist do?

A Bloomberg Data Scientist analyzes large sets of financial and market data to uncover insights, build predictive models, and support data-driven decision-making. They work closely with engineers, product managers, and financial experts to develop tools and algorithms that enhance Bloomberg's products and services. Their work often involves using statistical analysis, machine learning, and programming to solve complex business problems. Additionally, they communicate findings to stakeholders and help implement solutions that improve financial workflows and products.

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

To thrive as a Bloomberg Data Scientist, you need strong analytical skills, expertise in statistical modeling, and a solid background in computer science or mathematics, typically supported by a relevant degree. Experience with programming languages like Python or R, proficiency in data visualization tools, and familiarity with big data platforms such as Hadoop or Spark are commonly required. Outstanding problem-solving abilities, effective communication, and the ability to collaborate across multidisciplinary teams set standout candidates apart. These skills are vital for extracting actionable insights from financial data, driving innovation, and supporting Bloomberg's data-driven decision-making.

Is 30 too late for data science?

Bloomberg Data Scientist roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding statistical methods. Age should not be a barrier if you have relevant expertise and a strong portfolio.

Does Bloomberg pay well?

Bloomberg Data Scientists typically receive competitive salaries that are above industry averages, reflecting the company's focus on advanced analytics and financial data. Compensation often includes bonuses, benefits, and opportunities for professional development, making it a well-paying role within the tech and finance sectors.
More about Bloomberg Data Scientist jobs
What cities are hiring for Bloomberg Data Scientist jobs? Cities with the most Bloomberg Data Scientist job openings:
What job categories do people searching Bloomberg Data Scientist jobs look for? The top searched job categories for Bloomberg Data Scientist jobs are:
Bloomberg Data Scientist jobs near you
Infographic showing various Bloomberg Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 14% As Needed, 34% Full Time, and 51% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Product Management Lead, Data Activation - CTO Office

Product Management Lead, Data Activation - CTO Office

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Product Management Lead, Data Activation - CTO Office
Location
New York
Business Area
Engineering and CTO
Ref #
10047855
Description & Requirements
Who We Are / The Team
Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more. We are passionate about what we do.
At Bloomberg, we put our users first. The world is always changing, and so are the ways people interact with data. We need product leaders who thrive in dynamic environments - building products and platforms that power global financial markets and enable innovation across industries.
The Data Activation group, part of the Data & Analytics division in the Office of the CTO, is responsible for connecting Bloomberg's data systems to customer outcomes, both internal and external. This pillar brings together data, AI, APIs, and developer experience to ensure that Bloomberg's vast data assets can be discovered, accessed, and activated seamlessly. Our remit spans integrations with the Bloomberg Terminal, first- and third-party API platforms, external developer ecosystems, AI/ML applications, and BQL (Bloomberg's query language) that enables programmatic access to data.
About the Role
We're seeking a Product Management Lead to head the Data Activation pillar - a senior leadership role within the Data & Analytics group, reporting into the CTO organization. This leader will manage a multidisciplinary team of product managers, data scientists, technical writers, and developer relations professionals focused on enabling data-driven innovation and empowering customers - both inside and outside Bloomberg - to build on top of our data.
You'll define and execute a product strategy that connects Bloomberg's internal data capabilities to real-world user experiences and outcomes. From shaping APIs and programmatic interfaces, to enabling AI and analytics use cases, to empowering external developers - you'll drive the "last mile" of data activation across the company's most strategic surfaces.
This is a unique opportunity to build and scale a product function that sits at the intersection of data, AI, and developer experience, influencing how Bloomberg delivers data intelligence to the world.
We'll Trust You To
  • Define and deliver a compelling product vision and roadmap for how Bloomberg's data is activated and experienced - across APIs, the Terminal, AI platforms, and developer ecosystems.
  • Lead and mentor a high-performing team of product managers, developer advocates, and data-focused specialists - fostering a culture of customer obsession, technical excellence, and collaboration.
  • Partner across engineering, AI research, and product teams to align on strategy and deliver seamless data access experiences that serve diverse user personas (developers, quants, analysts, researchers).
  • Drive innovation in programmatic data access through BQL, APIs, SDKs, and integrations - enabling customers to embed Bloomberg data in their own workflows and applications, including emerging agentic AI use cases.
  • Shape the external developer strategy, in partnership with engineering and business stakeholders, to extend the reach and impact of Bloomberg's data platform through robust tools, documentation, and engagement programs.
  • Define success metrics and KPIs, using data-driven insights to prioritize, measure adoption, and continuously improve the developer and data activation experience.
  • Stay ahead of industry trends in data APIs, AI/ML integration, developer platforms, and data monetization to ensure Bloomberg remains at the forefront of data innovation.

You'll Need To Have
  • Bachelor's degree or equivalent practical experience.
  • 10+ years of experience in product management or related technical leadership roles, ideally within data, platform, or developer ecosystems.
  • 5+ years of experience managing product teams and leading cross-disciplinary groups.
  • Proven experience launching and scaling API or data platform products serving developers, analysts, or AI/ML practitioners.
  • Strong understanding of data systems, APIs, and developer workflows, including knowledge of query languages and programmatic data access patterns.
  • Exceptional ability to translate complex data and infrastructure capabilities into intuitive user-facing solutions.
  • A track record of customer-centric product thinking and delivering outcomes that drive measurable impact.
  • Excellent communication and collaboration skills, with the ability to align technical and business stakeholders around a shared vision.

We'd Love To See
  • Master's degree in a technical or business-related field.
  • Experience building or scaling developer platforms or ecosystems.
  • Familiarity with AI/ML tools, APIs, and applied data products.
  • Background in data science, data engineering, or software development.
  • Demonstrable knowledge of financial markets
  • Deep curiosity about how data, AI, and APIs combine to unlock new possibilities for customers and the broader developer community.

Salary Range = 235,000 - 350,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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