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Professional Data Jobs in Washington (NOW HIRING)

Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience. * Deep expertise in multiple complex ...

Data Engineer - Expert

Chantilly, VA · Hybrid

$165K - $200K/yr

AWS Certified Solutions Architect - Professional, CISSP, or Databricks Certified Professional Data Engineer. * Proven track record architecting data solutions for deployment in air-gapped or high ...

Data Analyst I

Washington, DC · On-site

$100 - $125/hr

Data Analyst I Position Overview 2ndWave is seeking a Data Analyst I to provide professional data management and analytical support services that improve the quality, consistency, and timeliness of ...

Data Engineer - Expert

Chantilly, VA · Hybrid

$165K - $200K/yr

AWS Certified Solutions Architect - Professional, CISSP, or Databricks Certified Professional Data Engineer. * Proven track record architecting data solutions for deployment in air-gapped or high ...

Data Engineer - Expert

Herndon, VA · On-site

$165K - $200K/yr

AWS Certified Solutions Architect - Professional, CISSP, or Databricks Certified Professional Data Engineer. * Proven track record architecting data solutions for deployment in air-gapped or high ...

Data Analyst I

Washington, DC · Remote

$100K - $125K/yr

Data Analyst I Position Overview 2ndWave is seeking a Data Analyst I to provide professional data management and analytical support services that improve the quality, consistency, and timeliness of ...

Data Analyst I

Washington, DC · On-site

$100 - $125/hr

Data Analyst I Position Overview 2ndWave is seeking a Data Analyst I to provide professional data management and analytical support services that improve the quality, consistency, and timeliness of ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer. About steampunk Steampunk relies on several factors to determine salary ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer. Steampunk relies on several factors to determine salary, including but not ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer. About steampunk Steampunk relies on several factors to determine salary ...

Data Strategy-Manager

Washington, DC · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

Jr Data Engineer

Chantilly, VA

$117K - $140K/yr

Approximately 4-8 years of professional data engineering, software engineering, or related experience * Demonstrated experience designing and maintaining ETL processes and enterprise data pipelines

Enterprise Data Architect

Mclean, VA · Remote

$135K - $165K/yr

Google Professional Data Engineer * Databricks Data Engineer Professional * TOGAF, DAMA CDMP, or enterprise architecture certifications About steampunk Steampunk relies on several factors to ...

Enterprise Data Architect

Mclean, VA · On-site

$135K - $165K/yr

Google Professional Data Engineer * Databricks Data Engineer Professional * TOGAF, DAMA CDMP, or enterprise architecture certifications About steampunk Steampunk relies on several factors to ...

Showing results 41-60

Professional Data information

What is a professional data analyst?

A Professional Data Analyst is a specialist who collects, processes, and interprets large sets of data to help organizations make informed decisions. They use statistical techniques, data visualization tools, and analytical software to identify trends, solve problems, and provide actionable insights. Data analysts often work closely with business teams to ensure that data-driven strategies align with organizational goals. Their role requires strong analytical skills, attention to detail, and proficiency in programming languages such as SQL, Python, or R.

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

To thrive as a Data Professional, you need strong analytical skills, a solid understanding of statistics, and proficiency in data management, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills are essential for transforming raw data into actionable insights that drive business decisions and strategies.

What are the most common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and keeping up with rapidly evolving tools and technologies. Collaboration with cross-functional teams can also present difficulties, especially when translating technical findings into actionable business insights. Addressing these challenges typically involves ongoing learning, clear communication with stakeholders, and implementing effective data governance practices to maintain accuracy and security. Building strong relationships with colleagues in IT, analytics, and business units is also crucial for success.

What is the difference between Professional Data vs Data Analyst?

AspectProfessional DataData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; often certifications in data managementBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL often preferred
Work EnvironmentCorporate offices, data centers, or remote settings; involved in data management and strategyOffice environments; focused on data analysis, reporting, and visualization
Employer & Industry UsageUsed across industries like finance, healthcare, and tech for data governance and strategyCommonly employed in business intelligence, marketing, and finance for data interpretation

Professional Data roles focus on managing, organizing, and ensuring data quality, often requiring broader data management skills. Data Analysts primarily interpret data, create reports, and support decision-making through analysis. While both roles work with data, their core responsibilities and skill sets differ, making each essential in different stages of data utilization.

What does a professional data do?

A professional data role involves collecting, analyzing, and interpreting data to support decision-making within an organization. They often use tools like SQL, Excel, or data visualization software and require strong analytical skills and attention to detail. Their work helps improve business processes, identify trends, and inform strategic planning.

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

The most popular types of Data jobs in Washington are:

What cities in Washington are hiring for Professional Data jobs?

Cities in Washington with the most Professional Data job openings:

Senior Lead Data Scientist

Compass

Washington, DC

$204K - $226K/yr

Full-time

Posted 8 days ago


Compass Real Estate rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 208 rated real estate companies


Job description

About the Role:

We are seeking an exceptional Senior Lead Data Scientist to lead large-scale, cross-functional initiatives that are critical to Compass. In this role, you will have mastery over major organizational problems and solution spaces, delivering with complete independence and maintaining accountability for strategic intent and results. You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions. 

Responsibilities:

  • Lead the execution of large, cross-functional initiatives where both the problem and solution approach are not well-defined.
  • Orchestrate efforts across multiple teams, managing dependencies and setting realistic timelines for high-impact projects.
  • Foster a culture of shared ownership across teams and translate cutting-edge industry research into practical, scalable solutions for the company.
  • Define and roll out new processes, methodologies, and best practices across the entire Data organization.
  • Mentor senior-level data scientists across the organization and act as a trusted advisor to executive leadership.

Qualifications:

  • Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience.
  • Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP.
  • Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams simultaneously.
  • Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural design.
  • Expertise in evaluating and selecting cutting-edge methodologies to solve highly ambiguous business problems.
  • Demonstrated experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring.
  • Proven ability to define and enforce clean code standards and software engineering best practices across teams.
  • Experience mentoring and developing senior-level data scientists to foster growth and technical excellence.
  • Exceptional communication skills with a track record of serving as a trusted advisor to organizational leadership.

Compensation: The base pay range for this position is $204,000-$226,700 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.


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