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Contract Amazon Data Science Jobs in Raleigh, NC

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Contemporaries

Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for ... Bachelor's degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental ...

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics ... Unit/integration tests for data and models, contract tests for features, reproducible training ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics ... Unit/integration tests for data and models, contract tests for features, reproducible training ...

TEKsystems

Principal Data Scientist

Cary, NC · On-site

$50 - $85/hr

Master's or PhD Preferred - 6-12+ years in Data Science / ML Engineering, with deep experience in ... is a Contract to Hire position based out of Cary, NC. Pay and Benefits The pay range for this ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

You will architect production-grade AI systems, raise the technical bar across data science and ML ... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

You will architect production-grade AI systems, raise the technical bar across data science and ML ... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

You will architect production-grade AI systems, raise the technical bar across data science and ML ... contract understanding, autonomous sourcing workflows, and beyond. What Success Looks Like in 12 ...

JAGGAER

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

Required : • 14-15 years of experience in data science / applied ML, including 3-4 years building ... Company : Jaggaer is SaaS that manages spending, suppliers, contracts, sourcing, shopping ...

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All JobsContract Amazon Data Science JobsContract Amazon Data Science Jobs in Raleigh, NC

Contract Amazon Data Science information

What are the key skills and qualifications needed to thrive as a Contract Amazon Data Scientist, and why are they important?

To thrive as a Contract Amazon Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and a relevant degree in computer science, statistics, or a related field. Experience with Python or R, SQL, AWS services, and familiarity with data visualization tools like Tableau are typically required. Effective communication, problem-solving abilities, and adaptability are essential soft skills that set candidates apart. These skills ensure you can extract actionable insights from large datasets, communicate findings clearly, and drive data-informed decisions in Amazon's fast-paced environment.

What are some common challenges faced by contract data scientists working with Amazon teams?

Contract data scientists at Amazon often need to quickly adapt to new teams and proprietary tools, while delivering insights under tight deadlines. Navigating Amazon's large-scale data infrastructure and understanding internal processes can be challenging initially. However, collaboration with cross-functional stakeholders, such as product managers and engineers, is encouraged to ensure project alignment and success. Contract roles typically offer exposure to cutting-edge projects, providing valuable experience and networking opportunities within Amazon's dynamic environment.

What are Contract Amazon Data Science jobs?

Contract Amazon Data Science jobs are temporary or project-based roles where professionals use data analysis, machine learning, and statistical techniques to support Amazon's business goals. These positions typically involve working on specific data-driven projects, such as optimizing supply chains, improving recommendation systems, or analyzing customer behavior. Contractors may be hired for a set period or until project completion, and they often collaborate with Amazon's full-time data scientists and engineers. These roles require strong technical skills in programming, data analysis, and familiarity with tools like Python, SQL, and AWS services.
What are the most commonly searched types of Amazon Data Science jobs in Raleigh, NC? The most popular types of Amazon Data Science jobs in Raleigh, NC are:
What are popular job titles related to Contract Amazon Data Science jobs in Raleigh, NC? For Contract Amazon Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Contract Amazon Data Science jobs in Raleigh, NC look for? The top searched job categories for Contract Amazon Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Contract Amazon Data Science jobs? Cities near Raleigh, NC with the most Contract Amazon Data Science job openings:
Contract Amazon Data Science jobs near you

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Posted 8 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:
Position Description:
Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with business objectives, and drives cross-functional collaboration to deliver scalable, high-impact solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by building, testing and monitoring AI models. Researches and recommends new technologies, and seizes opportunities by staying abreast of publications, tools, and techniques from the global Artificial Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
  • Implements best practices for model development, iteration, as well as code management and conducts code reviews.
  • Draws key business insights from advanced quantitative analyses and presents findings to broader audience.
  • Leads the design and deployment of advanced analytics solutions that convert raw data into actionable intelligence.
  • Delivers scalable insights, while aligning analytics infrastructure with business priorities.
  • Directs the development and integration of analytics frameworks that transform raw data into strategic insights.
  • Ensures solutions are scalable, business-aligned, and drive data-informed decision-making across the organization.
  • Leads and oversees the full AI/ML lifecycle -- data ingestion, model development, training, deployment, and monitoring.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on deployment of major project deliverables.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:
Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing supervised and unsupervised Machine Learning (ML) algorithms -- regression, gradient boosting trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning -- using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics.

  • DE performing data wrangling and feature engineering for large, complex data across Cloud and on-premise data warehouses -- Oracle, Greenplum/Postgres, Hadoop/Hive, Snowflake, S3, and Redis -- using SQL, Python, and database specific SQL; standardizing and optimizing complex queries using database techniques -- partitioning and parallel processing; aggregating time series and transaction tables; creating appropriate features for modeling out of structured and unstructured data; detecting and preventing data leakage and model biases through model fairness measures using open-source AI fairness and ethics libraries.

  • DE analyzing technology solutions for supporting model deployment and integration in Cloud and on premise environments; and building model deployment and integration workflows on Amazon Web Services (AWS), on-premise Hadoop, and UNIX platforms through Git, Jenkins, Python scripts, cron jobs, step functions, Docker images, and APIs.

  • DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract- Transform-Load (ETL) procedures, Python, and Docker containers; creating data quality guardrails to validate model inputs and outputs using ICEDQ; and addressing financial services Cloud security constraints and record systems for workplace services -- 401(K), defined benefits, and workplace compensation and retirement plans, using AWS security tools.

#PE1M2
#LI-DNI
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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