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Remote Amazon Data Science Jobs in Reston, VA (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245950 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247640 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Eastport Analytics, Inc

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

Two+ years in a data science role; experience in federal financial regulatory environments (e.g ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0248011 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

System One

Senior Data Scientist (AI)

Washington, DC · Remote

Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or related ... Familiarity with AWS AI services (Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe)

System One

Senior Data Scientist (AI)

Washington, DC · Remote

Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or related ... Familiarity with AWS AI services (Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe)

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All JobsAmazon Data Science JobsRemote Amazon Data Science JobsRemote Amazon Data Science Jobs in Reston, VA

Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

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Pega Data Science and Analytics

Merrifield, VA • Remote

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

Contractor

Re-posted 3 days ago

Job description

Job Title: Pega Data Science and Analytics Location: Hybrid or Remote reporting to Vienna Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract 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) . Looking for a candidate with 5-10 years of experience + Master's degree and 1-2 years of strong data science and coding experience. Ref: #851-Rockville-S1

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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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