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Executive Data Science Analytics Jobs in Washington

INSPYR Solutions

PEGA Data Science & Analytics

Vienna, VA · On-site

$56.50 - $74/hr

PEGA Data Science & Analytics Location: Vienna, VA (HYBRID) Duration: 6-month contract with possible extensions Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. PEGA Data ...

New

Caliber Systems Inc.

Lead Data Scientist

Alexandria, VA · On-site

$120 - $160/hr

Provide technical and management leadership for major data science, analytics, and technology ... Prepare briefings, technical documentation, analytical reports, executive summaries, and ...

CALIBRE

Lead Data Scientist

Alexandria, VA

Required Skills · Provide technical and management leadership for major data science, analytics ... executive summaries, and recommendations for a diverse range of stakeholders and cross-functional ...

CALIBRE Systems

Lead Data Scientist

Alexandria, VA · On-site

Required Skills • Provide technical and management leadership for major data science, analytics ... executive summaries, and recommendations for a diverse range of stakeholders and cross-functional ...

GRVTY

Data Scientist - Senior

Springfield, VA

Create executive-level briefings, reports, and visualizations to communicate analytical findings ... Master's degree in Data Science, Statistics, Business, or related field preferred. * Expert ...

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Executive Data Science Analytics information

What is the difference between Executive Data Science Analytics vs Data Scientist?

AspectExecutive Data Science AnalyticsData Scientist
CredentialsAdvanced degrees (Master's/PhD), certifications in analytics or data scienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic leadership, executive meetings, cross-departmental collaborationTechnical analysis, coding, model development, data exploration
Employer & Industry UsageSenior roles in corporations, consulting firms, and tech companiesTech companies, finance, healthcare, and research organizations
Search & Comparison IntentUnderstanding strategic vs technical roles, career progressionTechnical skills, daily tasks, qualifications

Executive Data Science Analytics focuses on strategic decision-making, leadership, and high-level analytics, often requiring advanced degrees and certifications. Data Scientists are more hands-on with technical analysis, coding, and model building. Both roles are vital in data-driven organizations but differ in scope, responsibilities, and work environment.

Is data science analytics a high paying job?

Data science analytics roles, including positions like Executive Data Science Analytics, are generally considered high-paying within the tech and data industries. Salaries depend on experience, location, and skills such as proficiency in Python, R, or machine learning tools, but they typically offer competitive compensation compared to many other fields.

What jobs can I get with an executive data science analytics degree?

An executive data science analytics degree prepares individuals for senior roles such as Data Science Director, Analytics Manager, or Chief Data Officer, focusing on leadership, strategic decision-making, and advanced analytics skills. These roles often require experience with tools like Python, R, and SQL, as well as strong business acumen and project management capabilities.

What is an executive data science analytics?

An executive data science analytics role involves leading data analysis projects to inform strategic decision-making within an organization. It requires strong skills in data modeling, visualization, and communication, often utilizing tools like Python, R, or Tableau, and typically involves overseeing teams or initiatives at a high level.
What are the most commonly searched types of Data Science Analytics jobs in Washington? The most popular types of Data Science Analytics jobs in Washington are:
Executive Data Science Analytics jobs near you

PEGA Data Science & Analytics

INSPYR Solutions

Merrifield, VA • On-site

$56 - $73.50/hr

Other

Medical, Retirement

Re-posted 27 days ago

Job description

Title: PEGA Data Science & Analytics
Location: Vienna, VA (HYBRID)
Duration: 6-month contract with possible extensions
Work Requirements: , Holders or Authorized to Work in the U.S.
 
PEGA Data Science & Analytics
To enable and simplify analysis required for faster implementation of new CDH modeling features. Looking for a candidate with 5-10 years of experience + Master''s degree and 1-2 years of strong data science and coding experience.
Prioritized Deliverables:
1. Library of required queries/scripts to replicate the CDH customer contextual object in external systems (databricks/asl) for deeper analysis
2. Standardize format for executing key data retrieval steps for use by the broader team
a. Interaction to outcome attribution (account opens)
b. Model data to interaction mapping (model performance, predictor performance)
c. Member Profile to interaction mapping
3. Create notebooks for the broader team to use to answer specific questions
a. Distribution Analysis
b. Arbitration Analysis
c. Channel Engagement Analysis

Skillset:
The primary technical skills required would be familiarity with the databricks environment and proficiency with Python/PySpark and SQL. Pega CDH experience is preferred.
Some examples of the work as it directly relates to GEM
• Initial Analysis to Support New Model Related Features
o Propensity Thresholds
▪ Creating the back-testing approach (MDSA had no appetite at the time)
▪ Establishing baseline KPIs
▪ Creating the monitoring approach
o Initial Model Maturity Analysis (though Morgan’s team is starting to be involved)
▪ Establishing baseline KPIs
▪ Gauging the impact of enabling the feature
▪ Creating the ongoing monitoring approach
• On-going Analysis
o Model Performance Monitoring
▪ Though MDSA owns the code to run the notebooks, when changes must be made to the code GEM is heavily involved in creating the new logic
o NBI Program Model Health
▪ This exists in some form today, but it is not in a state that is readily available to be shared with leaders in O&A, MDSA, or broader Marketing
Broader O&A Analytical Gaps: (Things Red, Sumant, and Tai typically scramble to create which should be readily available)
• “Actionable Monitoring Data:” Standardizing how we conduct this sort of analysis for consistency
o Capture when propensity scores are exceptionally low closer to real-time (1 day)
o Capture when actions are not providing value to their intended objective (acquisition, engagement)
• Eligible Audience Monitoring
o Identifying Members eligible for different actions/treatments (simulation environment can help after going live to a certain extent)
o Tying interactions back to key Member demographic data for more granular analysis (this sort of analysis should be standardized so it can easily be done by all Members of O&A)

Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • …and much more!
 
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
 

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