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Junior Data Strategy Jobs in Washington (NOW HIRING)

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ...

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ...

Big Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

What You Will Be Doing - Define Big Data strategy, including designing multi-phased implementation ... Mentor junior team members What You Need for this Position - Proficiency in SQL, NoSQL, and ...

... of junior and mid-level analysts who will look to you for technical acumen and mentoring. Our ... Align federal frameworks (Evidence Act, Federal Data Strategy, FAIR, DAMA-DMBOK, DCAM) with client ...

Data Governance Analyst

Arlington, VA · On-site

$105 - $200/hr

... of junior and mid-level analysts who will look to you for technical acumen and mentoring. Our ... Align federal frameworks (Evidence Act, Federal Data Strategy, FAIR, DAMA-DMBOK, DCAM) with client ...

... of junior and mid-level analysts who will look to you for technical acumen and mentoring. Our ... Align federal frameworks (Evidence Act, Federal Data Strategy, FAIR, DAMA-DMBOK, DCAM) with client ...

Senior Data Scientist

Washington, DC · On-site

$120 - $160/hr

Tasks span data exploration, model development, deployment, monitoring, and strategic storytelling ... Mentor and communicate at scale - guide junior data scientists, maintain model cards and runbooks ...

Collaborate with stakeholders to translate strategic questions into analytical approaches and ... Mentor junior data scientists and establish best practices for reproducible, well-documented ...

Showing results 21-40

Junior Data Strategy information

What does a junior data strategy professional do?

A Junior Data Strategy professional assists in analyzing data, developing strategies to leverage data for business goals, and supporting data-driven decision-making. They often work with more senior strategists to collect, clean, and interpret data, and help implement best practices for data management. Their role may involve creating reports, identifying trends, and supporting cross-functional teams to ensure effective use of data across the organization.

What are the key skills and qualifications needed to thrive as a junior data strategy professional?

To thrive as a Junior Data Strategy professional, you need a solid foundation in data analysis, business acumen, and a relevant degree such as in statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable business recommendations. These competencies ensure you can effectively support data-driven decision-making and contribute to organizational strategy.

What are typical responsibilities and collaborative dynamics for a junior data strategy professional?

As a Junior Data Strategy professional, you'll often support senior team members by collecting, cleaning, and analyzing data to inform business decisions. You may help prepare reports, contribute to data-driven presentations, and assist in developing data governance policies. This role frequently involves collaborating with departments such as IT, marketing, and business analytics to ensure that data solutions align with organizational goals. It's common to participate in cross-functional meetings, where your input helps shape strategies for data usage across the company.

What is the difference between Junior Data Strategy vs Data Analyst?

AspectJunior Data StrategyData Analyst
Required CredentialsBachelor's in Business, Data Science, or related field; some certificationsBachelor's in Statistics, Mathematics, or related field; often similar certifications
Work EnvironmentCollaborative teams, strategic planning, cross-departmental projectsData collection, cleaning, analysis, reporting
Employer & Industry UsageBusiness strategy teams, consulting firms, tech companiesFinance, healthcare, marketing, tech industries

Junior Data Strategy roles focus on supporting strategic initiatives and planning using data insights, often working closely with business teams. Data Analysts primarily analyze data sets to generate reports and insights. While both roles require similar educational backgrounds and certifications, Junior Data Strategists are more involved in strategic planning, whereas Data Analysts focus on data processing and analysis.

What are the most commonly searched types of Data Strategy jobs in Washington?

The most popular types of Data Strategy jobs in Washington are:

What job categories do people searching Junior Data Strategy jobs in Washington look for?

The top searched job categories for Junior Data Strategy jobs in Washington are:

What cities in Washington are hiring for Junior Data Strategy jobs?

Cities in Washington with the most Junior Data Strategy job openings:

Senior Data Scientist - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA • On-site

Full-time

Re-posted 8 days ago


Job description

Position: Senior Data Scientist
Location: Arlington, VA (5 days on site)
Locals Preferred
Top 3 Skills:
8 years of data science experience Azure, Data Bricks, PySpark
Be able to communicate directly with business stakeholders
Job Description:
The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
Key Responsibilities and Essential Duties:
  • Develop solutions to business problems using the data science life cycle.
  • Develop and maintain data analytics solutions and machine learning algorithms
  • Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
  • Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
  • Mine and analyze data from a data lake or data warehouse to drive optimization.
  • Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
  • Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Document data science algorithms for maintainability.
  • Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Mentor junior data scientists and data analysts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • 8+ Years of practical data science/data analytics experience.
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
  • Fundamental skills in data processing languages such as SQL, Python, or Scala.
  • Knowledge in building data science solutions using cloud data services.
  • Ability to self-manage and make your own decisions.
  • Strong presentation skills to effectively communicate results of analytics to stakeholders.
  • Strong documentations skills.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
  • Experience using Databricks for machine learning algorithm development
  • Experience in coding languages primarily PySpark, Python,and SQL.
  • Experience in agile development and sprint planning.
  • Experience utilizing DevOps
  • Experience working with streaming datasets/IoT.
  • Strong technical writing skills.