Data Scientist
Sunnyvale, CA · On-site
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 ...
Data Scientist
Sunnyvale, CA · On-site
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 ...
Data Engineer Intern
Los Angeles, CA · On-site
$123K - $148K/yr
The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Data Engineer Intern
Los Angeles, CA · On-site
$123K - $148K/yr
The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Data Engineer Intern
Los Angeles, CA · On-site
$123K - $148K/yr
The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Data Engineer Intern
Los Angeles, CA · On-site
$123K - $148K/yr
The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Data Scientist, D2C Data Science San Diego, CA (Hybrd) About the Team The Direct to Consumer (D2C ... The initial portfolio is expected to focus on payment method performance, payment flow optimization ...
Data Scientist, D2C Data Science San Diego, CA (Hybrd) About the Team The Direct to Consumer (D2C ... The initial portfolio is expected to focus on payment method performance, payment flow optimization ...
Senior Software Engineer - Database Engine Internals
San Francisco, CA · On-site
$124K - $169K/yr
Responsibilities : • Query compilation and optimization • Distributed query execution and scheduling • Vectorized execution engine • Data security • Resource management • Transaction ...
Senior Software Engineer - Database Engine Internals
San Francisco, CA · On-site
$124K - $169K/yr
Responsibilities : • Query compilation and optimization • Distributed query execution and scheduling • Vectorized execution engine • Data security • Resource management • Transaction ...
Data Engineer
Santa Clara, CA · On-site
$133K - $160K/yr
The ideal candidate will be responsible for designing, developing, and optimizing data pipelines and ETL processes, building data models, and enabling data-driven decision-making within the ...
Data Engineer
Santa Clara, CA · On-site
$133K - $160K/yr
The ideal candidate will be responsible for designing, developing, and optimizing data pipelines and ETL processes, building data models, and enabling data-driven decision-making within the ...
Advanced SQL expertise for querying and optimizing large datasets. * Proficiency in Python (Pandas, NumPy) for data analysis and feature engineering. * Experience with Tableau or similar BI t ools ...
Quick apply
Advanced SQL expertise for querying and optimizing large datasets. * Proficiency in Python (Pandas, NumPy) for data analysis and feature engineering. * Experience with Tableau or similar BI t ools ...
Advisor - Data Architect, Data Foundry
$75 - $96.50/hr
These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities-serving both human scientists and autonomous AI agents.
Advisor - Data Architect, Data Foundry
$75 - $96.50/hr
These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities-serving both human scientists and autonomous AI agents.
Principal Data Engineer
Milpitas, CA · On-site
... optimization strategies. Qualifications : Required : • 5-10+ years of hands‑on experience in data engineering or data architecture • Strong expertise in Azure + Databricks ecosystem • Proven ...
Principal Data Engineer
Milpitas, CA · On-site
... optimization strategies. Qualifications : Required : • 5-10+ years of hands‑on experience in data engineering or data architecture • Strong expertise in Azure + Databricks ecosystem • Proven ...
Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. * Build optimization solutions encompassing targeting relevance ...
Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. * Build optimization solutions encompassing targeting relevance ...
Senior Data Scientist
Irvine, CA · On-site
We are seeking a highly skilled Data Scientist with expertise in demand forecasting, supply chain optimization, and retail inventory management. In this role, you will develop, retrain, and validate ...
Senior Data Scientist
Irvine, CA · On-site
We are seeking a highly skilled Data Scientist with expertise in demand forecasting, supply chain optimization, and retail inventory management. In this role, you will develop, retrain, and validate ...
Sr Data Scientist - Supply Chain Optimization (Middle Mile)
Sunnyvale, CA · On-site
$98K - $211K/yr
Work closely with fellow data scientists to review and iterate on optimization and machine learning algorithms and develop state of the art mathematical models * Collaborate with engineers to design ...
Sr Data Scientist - Supply Chain Optimization (Middle Mile)
Sunnyvale, CA · On-site
$98K - $211K/yr
Work closely with fellow data scientists to review and iterate on optimization and machine learning algorithms and develop state of the art mathematical models * Collaborate with engineers to design ...
Data Scientist, D2C Data Science San Diego, CA (Hybrd) About the Team The Direct to Consumer (D2C ... Theinitialportfolio is expected to focus on payment method performance, payment flow optimization ...
Data Scientist, D2C Data Science San Diego, CA (Hybrd) About the Team The Direct to Consumer (D2C ... Theinitialportfolio is expected to focus on payment method performance, payment flow optimization ...
Advisor - Data Architect, Data Foundry
San Francisco, CA · On-site
$75 - $96.50/hr
These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities-serving both human scientists and autonomous AI agents.
Advisor - Data Architect, Data Foundry
San Francisco, CA · On-site
$75 - $96.50/hr
These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities-serving both human scientists and autonomous AI agents.
Data Scientist, D2C Data Science San Diego, CA (Hybrd) About the Team The Direct to Consumer (D2C ... The initial portfolio is expected to focus on payment method performance, payment flow optimization ...
Data Scientist, D2C Data Science San Diego, CA (Hybrd) About the Team The Direct to Consumer (D2C ... The initial portfolio is expected to focus on payment method performance, payment flow optimization ...
Advisor - Data Architect, Data Foundry
South San Francisco, CA · On-site
$151.50 - $244.20/hr
These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities--serving both human scientists and autonomous AI ...
New
Advisor - Data Architect, Data Foundry
South San Francisco, CA · On-site
$151.50 - $244.20/hr
These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities--serving both human scientists and autonomous AI ...
New
Principal Data Engineer
Milpitas, CA · On-site
$80 - $85/hr
Performance tuning, cluster optimization * CI/CD for Databricks workloads Big Data & Processing Frameworks * Apache Spark with advanced PySpark transformations * Structured Streaming & batch data ...
Principal Data Engineer
Milpitas, CA · On-site
$80 - $85/hr
Performance tuning, cluster optimization * CI/CD for Databricks workloads Big Data & Processing Frameworks * Apache Spark with advanced PySpark transformations * Structured Streaming & batch data ...
Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...
Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...
Data Engineer
San Francisco, CA · On-site
$134K - $162K/yr
Advanced SQL skills for complex queries and performance optimization. * Hands-on experience with DBT (Data Build Tool) for data transformation. * Experience building scalable ETL/ELT pipelines.
Data Engineer
San Francisco, CA · On-site
$134K - $162K/yr
Advanced SQL skills for complex queries and performance optimization. * Hands-on experience with DBT (Data Build Tool) for data transformation. * Experience building scalable ETL/ELT pipelines.
Senior Data Scientist
Berkeley, CA · On-site
Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...
Quick apply
Senior Data Scientist
Berkeley, CA · On-site
Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...
Data Optimisation information
What are the most common challenges faced in a data optimisation role, and how can I prepare for them?
One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.
What are the key skills and qualifications needed to thrive as a data optimisation specialist?
To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.
What are data optimisation jobs?
Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.
What is data optimisation?
Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.
What is the difference between Data Optimisation vs Data Analysis?
| Aspect | Data Optimisation | Data Analysis |
|---|---|---|
| Primary Focus | Improving data processes and system efficiency | Interpreting data to uncover insights |
| Skills Required | Data management, process improvement, technical skills | Statistical analysis, reporting, critical thinking |
| Work Environment | IT teams, data engineering, system optimization | Business units, research teams, analytics departments |
| Certifications | Data management, database certifications | Data analysis, statistical certifications |
Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.
What are popular job titles related to Data Optimisation jobs in California? For Data Optimisation jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in California look for? The top searched job categories for Data Optimisation jobs in California are:
What cities in California are hiring for Data Optimisation jobs? Cities in California with the most Data Optimisation job openings:
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