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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 ...

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

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.

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.

Overstory

Engineering Manager, Full Stack & Data

Role & Team As an Engineering Manager, Full Stack & Data, you will lead across several cross-functional teams, managing up to ~10 full stack software engineers, data engineers, and GIS specialists.

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Full Stack Data Scientist information

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

As of Jun 27, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Full Stack Data Scientist position, and why are they important?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What is a Full Stack Data Scientist job?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do Full Stack Data Scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

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Full Stack Data Scientist jobs near you
Data Scientist

Data Scientist

Redolent, Inc.

Sunnyvale, CA • On-site

Full-time

Posted 21 days ago

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
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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

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