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Experienced Data Scientist Jobs (NOW HIRING)

Data Scientist

Arlington, VA ยท On-site +1

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building ...

New

Experience with SQL or similar language preferred and * Intermediate Python skills or similar ... Data Scientist II: * Bachelor's Degree in Statistics, Computer Science, Mathematics, or relevant ...

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA. What will you do? * Collect, clean, and analyze large, complex ...

Experience with SQL or similar language preferred and * Intermediate Python skills or similar ... Data Scientist II: * Bachelor's Degree in Statistics, Computer Science, Mathematics, or relevant ...

Data Scientist

Palo Alto, CA ยท On-site +1

$115K - $180K/yr

Vianai is looking for an experienced Data Scientist who will build and train our next generation AI platform. Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She ...

Description We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services, features, monetization ...

Data Scientist

Palo Alto, CA ยท On-site

$115K - $180K/yr

Vianai is looking for an experienced Data Scientist who will build and train our next generation AI platform. Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She ...

Data Scientist LCAT: Mid Location: Reston, Virginia This position is contingent upon award ... Required experience: At least 5 years Required education: Bachelor's degree in Computer Science ...

Data Scientist

Brooklyn, NY ยท On-site

$100K - $132K/yr

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational ...

Data Scientist LCAT: Mid Location: Reston, Virginia This position is contingent upon award ... Required experience: At least 5 years Required education: Bachelor's degree in Computer Science ...

Description The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to ...

Ignite is seeking an experienced Data Scientist to support data analytics, machine learning, and EMS data refinement in support of the Joint Electromagnetic Warfare Center (JEWC). This position ...

Description The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to ...

Experience building end to end data science / machine learning solutions that have delivered tangible business value (required) * Strong communication and stakeholder management skills (required)

Job Summary We are seeking an experienced Data Scientist to lead and optimize the AI-driven product content ecosystem for owned brands. This role combines machine learning, product catalog management ...

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Experienced Data Scientist information

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$165K

$243.5K

How much do experienced data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for experienced data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

An experienced data scientist can start or transition into the field at age 40, as skills in programming, statistics, and machine learning are more important than age. Many professionals successfully switch careers or advance in data science later in life by gaining relevant certifications and building a strong portfolio.

What are some typical challenges an experienced data scientist faces when working on cross-functional teams?

Experienced data scientists often collaborate with cross-functional teams, such as product managers, engineers, and business analysts. A common challenge in this environment is effectively communicating complex analytical findings in a way that is actionable for non-technical stakeholders. Additionally, aligning data science objectives with broader business goals and navigating differing priorities can require strong negotiation and project management skills. Overcoming these challenges is key to ensuring that data-driven insights are not only understood but also implemented to drive impact.

What are experienced data scientists?

Experienced data scientists are professionals who have a strong background in data analysis, statistical modeling, and machine learning, typically with several years of industry experience. They use advanced analytical techniques to extract insights from complex data sets, helping organizations make data-driven decisions. In addition to technical skills, they often possess domain expertise, strong problem-solving abilities, and experience in communicating their findings to both technical and non-technical stakeholders. Their work may involve designing experiments, building predictive models, and deploying machine learning solutions in production environments.

What is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to prioritize data cleaning, feature selection, and model tuning to focus on the most impactful variables and improve efficiency.

How much does an experienced data scientist make?

An experienced data scientist typically earns between $100,000 and $150,000 annually, with salaries increasing based on industry, location, and expertise in tools like Python or R. Senior roles or those with specialized skills can exceed $170,000 per year.

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

To thrive as an Experienced Data Scientist, you need advanced statistical analysis, machine learning expertise, strong programming skills (often in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL, and cloud platforms, as well as certifications in data science or analytics, are commonly expected. Outstanding problem-solving, communication skills, and business acumen help you translate complex data insights into actionable strategies. These skills are essential for delivering impactful solutions and driving data-informed decision-making within organizations.

What is the difference between Experienced Data Scientist vs Data Analyst?

AspectExperienced Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications are optional
Work EnvironmentDevelops models, algorithms, and predictive analytics; works on complex data projectsPrepares reports, visualizations, and performs data cleaning and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and business intelligence

In summary, an Experienced Data Scientist typically handles advanced analytics, machine learning, and predictive modeling, requiring more technical skills and higher education. Data Analysts focus on data cleaning, reporting, and visualization, often with less emphasis on complex modeling. Both roles are essential but differ in scope and technical depth.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.
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What states have the most Experienced Data Scientist jobs? States with the most job openings for Experienced Data Scientist jobs include:
Data Scientist

Data Scientist

Two Six Technologies

Arlington, VA โ€ข On-site, Remote

Other

Posted 4 days ago

New


Job description

We're looking for an experiencedย Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building capabilities to identify, plan, and deliver effects in the information operations space, and aim to provide a complete end-to-end solution to customers wishing to detect, analyze, and respond to events in real time. We combine signal-rich proprietary data, novel AI-powered technology, and world-class expertise to deliver valuable insights to our US government and Fortune 50 clients.ย 

We're seeking a curious and passionate Data Scientist who will help our customers discover the information hidden in vast amounts of data to sense, make sense, and act in the Information Environment. In this role, you will work autonomously to find creative solutions and tackle challenging problems with cutting-edge technology, with a current focus on Agentic AI. The role is a great fit if you're motivated by autonomy, innovation, and mission-focused data problems in uncharted territory to advance missions of national security.

As a part of the Data Science team you'll have opportunities to work on projects that expand your skills, learn from peer mentors, and iterate internal research and development. We regularly experiment with a range of data science techniques to build tools and produce insights. Our team works with agentic and generative AI, machine learning, network analysis, sampling methodologies, multi-language NLP, data visualization, and more.

Responsibilities

  • Work with our product and customer support teams to turn abstract customer needs into concrete data science and/or engineering problems
  • Experiment with and evaluate potential solutions to develop high quality prototypes
  • Work with our engineering team to turn prototypes into scalable production-level software
  • Work on agentic systems - designing prototypes, adding tools, evaluating effectiveness
  • Be responsible for projects that span statistical and mathematical reasoning, business communications and leadership, and software development
  • Contribute to the product roadmap both near-term tactical andย  longer-term strategic levels
  • Experiment with a range of data science techniques to produce insight, including machine learning, deep learning, network analysis, sampling methodologies, text analytics in multiple languages and data visualization
  • Design and execute experiments to evaluate the integrity of our data sampling and data collection strategies
  • Work on ad-hoc analyses or build prototype tools to support our subject matter expert and customer support teams
  • Participate in strategic discussions about the direction data science should be taking the company

Here are some of the skills and experience that will help you thrive in this role:

  • Background
    • Strong quantitative background with Bachelor's degree in Physics, Computer Science, Math, Statistics, Economics, Engineering, or similar field. Higher degrees preferred
    • You have 3+ years experience in a Data Science role (or 1+ with a PhD), including 2+ years experience with Python programming language (Intermediate-level or higher)
  • Technical
    • Experience with agentic and generative AI. Examples include
      • Building agentic systems
      • Building tools for agentic systems
      • Evaluating agentic systems and/or generative AI solutions
      • LangChain and/or LangGraph frameworks
      • Model Context Protocol and Agent2Agent Protocol
      • Prompt engineering
      • Leveraging LLMs within analytical pipelines
      • Training or fine-tuning LLMs
    • Experience with Machine Learning, including
        • Feature selection/engineering
        • Model training
        • Model evaluation
        • Supervised and Unsupervised ML
        • Simulation
        • Anomaly detection
    • A good understanding of statistics, including familiarity with statistical tests, distributions, and maximum likelihood estimators
    • Previous experience with code version control
    • Familiarity with software development processes and tools like the Agile methodology and Jira
  • Project Ownership
    • You've scoped and planned data science projects and have the ability to creatively navigate technical limitations, iterate to solve hard questions, and learn quickly and independently.
    • You are comfortable leading solutions for ambiguous tasks and complex problems, and are capable of independently providing solutions that fit within the business strategy.
    • You propose pragmatic solutions that are as simple as possible and can be iterated upon
    • You're comfortable working remotely on a distributed data science team with a diverse set of skills and life experiences, while embedded in a product team as owner of data science innovations to the product.
  • Communication
    • You have strong written and verbal communication skills to both technical and non-technical customers. You have experience participating in meetings with a multitude of stakeholders (e.g., Product, Engineering, Operations, Management) and can communicate in a crisp manner. Mastery of English is required for this role, including communication at all levels of technical expertise.

Clearance: Must be eligible and willing to obtain a clearance.

Travel: Up to 10% Travel
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