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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
$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.
Javascript Full Stack
Portland, OR · On-site
Javascript Full Stack/Data engineer a. Javascript (Express.js) /python (serverless framework) [Admin/ETL] b. ReactJS c. NSP, NIFI, EMR (Spark jobs), airflow d. Graph Databases (AWS Neptune)
Javascript Full Stack
Portland, OR · On-site
Javascript Full Stack/Data engineer a. Javascript (Express.js) /python (serverless framework) [Admin/ETL] b. ReactJS c. NSP, NIFI, EMR (Spark jobs), airflow d. Graph Databases (AWS Neptune)
Data Scientist 5, Experimentation Platform
New York, NY · On-site +1
$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.
Data Scientist 5, Experimentation Platform
New York, NY · On-site +1
$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.
Bachelor's degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering. * Knowledge and capability to ...
Bachelor's degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering. * Knowledge and capability to ...
Data Scientist 5, Experimentation Platform
Los Angeles, CA · On-site
$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.
Data Scientist 5, Experimentation Platform
Los Angeles, CA · On-site
$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.
Full Stack Data Engineer & Analytics Developer
Austin, TX · On-site
$45 - $50/hr
Full Stack Data Engineer & Analytics Developer 100% Remote 12 + Months $45-$50/HR Overview: A hybrid role blending data analytics, backend engineering, and frontend development to bridge the gap ...
Full Stack Data Engineer & Analytics Developer
Austin, TX · On-site
$45 - $50/hr
Full Stack Data Engineer & Analytics Developer 100% Remote 12 + Months $45-$50/HR Overview: A hybrid role blending data analytics, backend engineering, and frontend development to bridge the gap ...
Full Stack, Data & Analytics Engineer
Long Beach, CA · On-site
$120K - $144K/yr
Collaborate with data scientists and AI engineers to operationalize models-ensuring datasets ... Full-stack mindset: Ability to span the data lifecycle-back-end pipelines, semantic models, and ...
Full Stack, Data & Analytics Engineer
Long Beach, CA · On-site
$120K - $144K/yr
Collaborate with data scientists and AI engineers to operationalize models-ensuring datasets ... Full-stack mindset: Ability to span the data lifecycle-back-end pipelines, semantic models, and ...
Bachelor's degree in computer science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack ...
Bachelor's degree in computer science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack ...
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.
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.
Junior Full Stack Data Engineer
Alcoa, TN · On-site
$75K - $80K/hr
Description We are seeking a Junior Full Stack Data Engineer to join our Data & Analytics team ... Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related ...
Junior Full Stack Data Engineer
Alcoa, TN · On-site
$75K - $80K/hr
Description We are seeking a Junior Full Stack Data Engineer to join our Data & Analytics team ... Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related ...
Trainee Full Stack Data Scientist information
What is the difference between Trainee Full Stack Data Scientist vs Data Analyst?
| Aspect | Trainee Full Stack Data Scientist | Data Analyst |
|---|---|---|
| Required Skills | Basic programming, data analysis, machine learning fundamentals | Data visualization, statistical analysis, Excel proficiency |
| Certifications | Entry-level data science courses, certifications in Python or R | Excel, SQL, Tableau certifications |
| Work Environment | Collaborative teams, project-based, tech-focused | Business units, reporting, data interpretation |
| Industry Usage | Tech, finance, healthcare, startups | Retail, marketing, finance, healthcare |
The Trainee Full Stack Data Scientist is an entry-level role focusing on developing skills in programming, machine learning, and data modeling, often in tech-driven environments. In contrast, Data Analysts primarily focus on data visualization, reporting, and statistical analysis to support business decisions. While both roles require analytical skills, the Data Scientist role involves more technical and coding expertise, whereas Data Analysts focus on interpreting data for insights.
More about Trainee Full Stack Data Scientist jobs
What cities are hiring for Trainee Full Stack Data Scientist jobs? Cities with the most Trainee 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 Trainee Full Stack Data Scientist jobs? States with the most job openings for Trainee Full Stack Data Scientist jobs include:
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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
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
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