ZipRecruiter

Log In

1

Contractual Full Stack Data Scientist Jobs (NOW HIRING)

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

... as a full-stack data scientist who develops, optimizes, and scales models for the production environment • You connect the how and why using your knowledge of data science theories and ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

... full-stack data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation • Design and develop advanced ML or Agentic AI solutions, including ...

Snowflake

Senior Data Scientist - Product

Menlo Park, CA · On-site

$168K - $220K/yr

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake's most critical initiatives. In this role, you will work closely with our ...

Netflix

Data Scientist 5, Experimentation Platform

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and ...

Netflix

OR

$372K - $600K/yr

We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling.

Apple

WPC Apple Card Data Scientist

Cupertino, CA · On-site

Description The Wallets, Payments, and Commerce (WPC) team at Apple is looking for a full-stack Data Scientist who is passionate about crafting and implementing data solutions that have a direct and ...

Mammoth Holdings

Junior Full Stack Data Engineer

Alcoa, TN · On-site

$75K - $80K/yr

Job Type Full-time Description We are seeking a Junior Full Stack Data Engineer to join our Data ... Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related ...

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI

$138K - $178K/yr

... Science or a related field and 5 years of progressive, post-baccalaureate experience in the job ... Full Stack Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ...

TradeStation Group, Inc.

Principal Data Scientist

Full-Stack Data Science - proven ability to own the complete lifecycle: problem definition, data wrangling, feature engineering, modeling, deployment, and monitoring in production environments

next page

Showing results 1-20

All JobsContractual Full Stack Data Scientist Jobs

Contractual Full Stack Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do contractual full stack data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for contractual full stack data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Contractual Full Stack Data Scientist vs Contractual Data Engineer?

AspectContractual Full Stack Data ScientistContractual Data Engineer
CredentialsDegree in Data Science, Computer Science, or related field; certifications in data analysis or machine learningDegree in Computer Engineering, Software Engineering, or related; certifications in cloud platforms or data pipeline tools
Work EnvironmentCollaborates with data analysts, machine learning engineers, and business teams on modeling and insightsFocuses on building, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data analysis, predictive modeling, and business insightsPrimarily in tech, finance, and e-commerce for data infrastructure and ETL processes

The Contractual Full Stack Data Scientist combines data analysis, modeling, and software skills to deliver insights and solutions, while the Contractual Data Engineer specializes in building and maintaining data infrastructure. Both roles are essential in data-driven organizations but focus on different aspects of the data lifecycle.

What are some common challenges faced by contractual full stack data scientists, and how can they be addressed?

Contractual full stack data scientists often face challenges such as adapting quickly to new teams and business domains, managing time constraints, and ensuring seamless handover of work at project completion. Since these roles typically involve both backend and frontend tasks, balancing diverse technical responsibilities while aligning with client expectations can be demanding. To address these challenges, it’s helpful to establish clear communication channels, document work thoroughly, and set realistic deliverables early in the contract. Proactively engaging with stakeholders and being flexible with new tools or workflows also support successful project outcomes.

What are Contractual Full Stack Data Scientists?

Contractual Full Stack Data Scientists are professionals hired on a contract basis to manage the end-to-end data science workflow for an organization. They are skilled in both frontend and backend development, as well as data engineering, data analysis, and machine learning. Their responsibilities often include collecting, processing, and analyzing data, developing predictive models, and deploying solutions into production environments. Unlike permanent employees, they typically work on specific projects or for a set period, offering flexibility to both the employer and the professional.

What are the key skills and qualifications needed to thrive as a Contractual Full Stack Data Scientist, and why are they important?

To thrive as a Contractual Full Stack Data Scientist, you need strong expertise in statistics, machine learning, data analysis, and software engineering, typically supported by a relevant degree and a portfolio of completed projects. Familiarity with programming languages such as Python or R, cloud platforms like AWS or Azure, and tools such as TensorFlow, SQL, and version control systems is essential. Excellent problem-solving, communication, and time management skills help you adapt quickly to varied client needs and collaborate effectively with cross-functional teams. These skills ensure the ability to deliver end-to-end data solutions that drive business value within project deadlines.
More about Contractual Full Stack Data Scientist jobs
What cities are hiring for Contractual Full Stack Data Scientist jobs? Cities with the most Contractual Full Stack Data Scientist job openings:
What are the most commonly searched types of Full Stack Data Scientist jobs? The most popular types of Full Stack Data Scientist jobs are:
What states have the most Contractual Full Stack Data Scientist jobs? States with the most job openings for Contractual Full Stack Data Scientist jobs include:
What job categories do people searching Contractual Full Stack Data Scientist jobs look for? The top searched job categories for Contractual Full Stack Data Scientist jobs are:
Contractual Full Stack Data Scientist jobs near you
Infographic showing various Contractual Full Stack Data Scientist job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Redolent, Inc.

Sunnyvale, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description:
What you'll do...
Are you a hardcore numbers person who would enjoy solving some of the business's toughest challenges by illuminating phenomena and opportunities held within one of the world's largest data sets? As a Data Scientist at Walmart, the mammoth scale and volume of our global data are virtually limitless. You will create insights that influence how we make decisions that have an impact at an unprecedented scale.
The Marketing Decision Science team focuses on developing data-driven models and services to bring high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omnichannel customers who view Wal-Mart as their top choice of retail shopping.
We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are building smart data systems that ingest, model, and analyze the massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.
You'll make an impact by:
• Process complicated and large-scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize business metrics.
• Build advanced machine learning and statistical models with various applications in SEM (search engine marketing), including ads performance prediction, bidding optimization, budget management, audience targeting, and measurement.
• Run large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in SEM applications which drives millions of clicks to Walmart eCommerce per day.
• Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
You'll sweep us off our feet if...
• You're an inquisitive, out-of-the-box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions
• You have consistently high standards, your passion for quality is inherent in everything that you do
• You have the courage to fail fast
• You have proven ability as a full-stack data scientist who develops, optimizes, and scales models for the production environment
• You connect the how and why using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose
Minimum Qualifications
• Master's degree in Computer Science, Statistics, Optimization or related field plus 2 years' experience in a machine learning related field.
• Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platforms (Python, R, SQL, Spark, Hive, etc.).
• Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
• Experienced with end-to-end modeling projects emerging from research efforts.
• Strong written and oral communication skills.
Main Area
Core Services Retail and Emerging Tech
SOW ID
WECTQ00004802
Statement of Work
FY23-Microsoft-SEM data Marketing Decision Science MDS-US10321
Site
1 - US - Sunnyvale
Characteristics
SOW Workers
Logged User Name
Changzheng Liu
Location
Spend Type
T&M
Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

FacebookTwitter

View All Redolent Jobs

Apply