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Senior Data Science Analytics Jobs in Virginia (NOW HIRING)

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following: * Programming languages such as Python(inclusive of libraries that are used in ...

Surescripts

Senior Data Scientist

Arlington, VA · On-site

The Senior Data Scientist will play a pivotal role in developing and implementing data-driven ... data science and advanced analytics empower towards corporate goals. * Question, validate, and ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Develop, implement, and maintain advanced data science and analytics solutions * Design and execute data analysis workflows using statistical and mathematical modeling techniques * Build and manage ...

Prescient Edge

Senior Data Scientist

Herndon, VA · On-site

Job Title Senior Data Scientist Location Reston, VA 20170 US (Primary) Category Intelligence Job ... Serve as the primary POC for data science expertise, ensuring tradecraft compliance and analytic ...

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Senior Data Science Analytics information

What is the highest paying job in data analytics?

In data analytics, senior roles such as Chief Data Officer, Data Science Director, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, big data tools, and strategic decision-making, and they typically involve leadership responsibilities and extensive experience.

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $100,000 to $130,000 annually, depending on factors such as industry, location, experience, and company size. Advanced skills in programming, data visualization, and statistical analysis can contribute to higher compensation in this role.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data science analyst; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, along with practical experience and continuous learning. Employers value expertise and problem-solving ability over age alone.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for skilled analysts to interpret results, develop models, and communicate findings remains essential in data science analytics roles.
What are the most commonly searched types of Data Science Analytics jobs in Virginia? The most popular types of Data Science Analytics jobs in Virginia are:
What cities in Virginia are hiring for Senior Data Science Analytics jobs? Cities in Virginia with the most Senior Data Science Analytics job openings:
Senior Data Science Analytics jobs near you
Senior Data Scientist

Senior Data Scientist

Tecolote Research

Chantilly, VA • On-site

Full-time

Posted 17 days ago

Job description

Overview
The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance.
Responsibilities
The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following:
  • Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.
  • The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop
  • The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts
  • Understanding of relevant statistical measures, development and evaluation of data sets.

Skills Required
The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following:
  • Tool and method development by using high-level modeling, machine learning techniques, and software languages
  • Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters
  • Working with data visualization tools and creating data visualization concepts
  • Experience developing queries and reports, parsing and merging data from complex datasets
  • Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management
  • Developing customer-facing reporting tools to provide timely and accurate decision-support and information
  • Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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