Data Scientist (L5), Member Product
By Netflix At Los Gatos, CA, United States
Strong statistical skills and intuition and applied experience solving problems in consumer-facing product areas.
At least four years of experience applying statistical and mathematical concepts to make decisions at scale.
Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics, as well as tooling.
Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.
Expertise in SQL and statistical programming (Python and/or R).
Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.
Data Scientist Jobs
By Red Bull At Santa Monica, CA, United States
1+ years of experience working as a Data Scientist in a professional or research context
Experience with statistics, SQL, R (and popular packages), Python, and popular visualization tools such as Tableau
Master's degree in mathematics, statistics or computer science or related field, or equivalent work experience in lieu of degree
Must be fluent in English, additional language skills an advantage
All the responsibilities we'll trust you with:
Your areas of knowledge and expertise
Data Scientist Jobs
By SPAR Information Systems LLC At Calabasas, CA, United States

Hello; Title: Data Scientist with Machine Learning Location is Woodland Hills, CA Onsite from Day 1 Long Term Jd Required Skills: 7+ years' experience in data science Proficiency with data ...

Data Scientist Jobs
By UCLA Health At , Los Angeles, 90095 $26.20 - $51.39 an hour

Description Come join our exceptional Department of Neurobiology, and help lead the advancement of cutting-edge basic science research into explorations of the brain and central nervous ...

Data Scientist Jobs
By Russell Tobin At Downey, CA, United States
Location – Remote/ Downey, CA 90242
• At least five (5) years of that experience must be in a lead capacity.
• 5 years of experience in Azure Data Factory
• 5 years of experience in Databricks
• 5 years of experience in Managing Azure Resources
• 5 years of experience in automating Azure Data Resources using DataOps
Data Scientist Jobs
By Link Network At Torrance, CA, United States
Strong predictive and statistical analysis and modeling skills
Insurance industry experience preferred, but not a must
PhD in Mathematics, Statistics, or related field
Machine learning modeling using Python
Ability to use cloud service and data visualization tools
Must be residing in the area at the time of application
Data Scientist Jobs
By CoEAdapt Inc. At Los Angeles, CA, United States
Minimum of 4 years of experience in a data scientist role or similar.
Advanced knowledge of statistical and machine learning tools (e.g., Python, R, SQL).
Experience with Big Data technologies (e.g., Hadoop, Spark, Cassandra).
Strong problem-solving skills with an ability to work independently and in a team environment.
Excellent analytical and quantitative skills, with an ability to extract actionable insights from large and complex datasets.
Strong communication and presentation skills, with an ability to communicate complex results to technical and non-technical stakeholders.
Data Scientist Jobs
By Behavior Frontiers At El Segundo, CA, United States
Excellent organizational abilities; multi-tasking; prioritization; time management
The ideal candidate will have a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python).
Knowledge of data science toolkits such as R, NumPy, and MatLab
Experience with big data analytics technologies such as Spark and Hadoop
Experience with data visualization tools such as D3.js, Tableau, and Power BI
Working knowledge of statistical models, SPSS, and business intelligence
Data Scientist, Cheminformatics (Mdd)
By Terray Therapeutics At Monrovia, CA, United States
Proficiency in Linux environment, experience with database languages, and experience with version control practices and tools
Experience with RDKit or related cheminformatics software (Daylight, OEChem, OpenBabel, etc.)
Develop scalable, in-house tools for clustering, molecule similarity, feature generation, SAR analysis, etc.
Analyze binding data from our proprietary screening platform to identify hits and produce additional insights to guide molecular design.
Effectively summarize and communicate analysis outcomes to teams across the company
Collaborate with medicinal chemistry and molecular design to prioritize hits for resynthesis and follow-up assays
Data Scientist, Software Programs
By Apple At Cupertino, CA, United States

Summary Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and ...

Data Scientist Jobs
By Keasis At Woodland, CA, United States
Experience on LLM, Generative AI, document extraction/chat. Mandatory.
* 7+ years' experience indatascience
* Advanced pattern recognition and predictive modeling experience
* Experience with Excel, PowerPoint, Tableau, SQL, and programming languages
Knowledge on below is desired:
Location : Woodland Hills CA 21555
Data Scientist Jobs
By CoStar Group At , San Francisco, 94111

Data Scientist CoStar Realty Information, Inc. seeks a Data Scientist to conduct economic data analysis as well as economic research and modeling. Create and execute economic analytic ...

Data Scientist Jobs
By Lawrence Berkeley National Laboratory At , San Francisco Bay Area $121,608 - $175,320 a year
This position is eligible for LBNL’s Employee Referral Program benefit(s).
Lawrence Berkeley National Laboratory has multiple openings for a Data Scientist in Berkeley, CA.
1. Complex quantitative modeling and analysis;
6. Energy use and life cycle cost analysis;
7. Writing technical reports; and
8. Preparing presentation materials for a non-technical audience.
Data Scientist Jobs
By Delart At Menlo Park, CA, United States
3+ yrs of proven experience as a Data Engineer with expertise in SQL, Tableau, Python, and Hive.
Experience in applying supervised and unsupervised learning techniques and anomaly detection methods to identify and address irregular patterns.
Experience in time series analysis to model and forecast temporal data for various applications.
Strong knowledge of data modeling, database design, and optimization techniques.
Experience in ETL principles and tools.
Strong problem-solving skills and the ability to work in a fast-paced environment.
Data Scientist Jobs
By FocusKPI, Inc. At San Bruno, CA, United States
Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)
Strong project management skills and attend-to-detail documentation skills.
Manage and streamline data extraction process with great attention to details
3+ years of industry experience in data, analytics, and data science role
Experience with advertising, measurement, and/or digital marketing analytics
Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.
Sr Data Scientist Jobs
By Coupang At Mountain View, CA, United States
Database experience with advanced SQL or SQL-like skills (Hadoop-Hive); experience researching and manipulating complex and large data sets;
3-5 years of work experience involving quantitative data analysis.
Working knowledge of data and statistical analysis (e.g. Cohort analysis, Campaign Analysis, A/B tests)
Experience with data visualization tools like Tableau
Willingness to dig-in and understand the data and to leverage creative thinking and problem-solving skills are absolute musts.
Experience with manipulating massive-scale clickstream data.
Data Scientist - Risk
By Plaid At San Francisco, CA, United States
2+ years of industry experience in a product focused Data Science role
Data engineering experience and data pipeline tooling (e.g. Airflow, DBT) experience is a plus
Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field
Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products
Identifying useful signals that can be fed into machine learning models.
Diving deep into the behavior and performance of large scale machine learning models to discover new opportunities of improvements and experimentation
Jr. Data Scientist Jobs
By PlayStation At Aliso Viejo, CA, United States

Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of ...

Data Scientist Jobs
By Synthego Corporation At Redwood City, CA, United States
Excellent SQL skills: experience querying large, complex data sets
Provide advice and education in the usage and interpretation of data to business users.
3-5 years of relevant experience including applying analytics to scientific, sales, marketing, product, operations and/or financial data
Experience with scalable relational databases (eg Snowflake/Vertica//Redshift/…). Snowflake experience is a plus
Proficiency with reporting tools like Tableau, Looker, Periscope, Microstrategy etc. Tableau experience is a strong plus
Medical, dental, and vision benefits
Data Scientist Jobs
By Robert Half At Westwood, CA, United States

Description **** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my ...

Are you looking for an exciting opportunity to use your data science skills to make a real impact? We are looking for a Data Scientist to join our team and help us uncover valuable insights from our data. You will be responsible for developing and implementing data analysis and predictive models to drive business decisions. You will also be responsible for creating visualizations to communicate your findings. If you are passionate about data and have a knack for problem solving, this could be the perfect job for you!

Overview Data Scientist 15771 is a highly skilled professional who is responsible for analyzing and interpreting large amounts of data to identify patterns and trends. They use their expertise in mathematics, statistics, and computer science to develop algorithms and models that can be used to make predictions and decisions. Detailed Job Description Data Scientist 15771 is responsible for collecting, analyzing, and interpreting large amounts of data from multiple sources. They must be able to identify patterns and trends in the data and develop algorithms and models to make predictions and decisions. They must be able to communicate their findings to stakeholders and other members of the team. They must also be able to develop and implement data-driven solutions to business problems. Job Skills Required
• Strong analytical and problem-solving skills
• Expertise in mathematics, statistics, and computer science
• Ability to develop algorithms and models
• Knowledge of data mining and machine learning techniques
• Ability to interpret and present data
• Knowledge of database management systems
• Ability to work with large datasets
• Excellent communication and interpersonal skills
Job Qualifications
• Bachelor’s degree in mathematics, statistics, computer science, or a related field
• Master’s degree in a related field preferred
• 5+ years of experience in data analysis and interpretation
• Proficiency in programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
Job Knowledge
• Knowledge of data mining and machine learning techniques
• Understanding of data structures and algorithms
• Knowledge of database management systems
• Understanding of statistical analysis and predictive modeling
• Knowledge of data visualization tools
Job Experience
• 5+ years of experience in data analysis and interpretation
• Experience with programming languages such as Python, R, and SQL
• Experience with data visualization tools such as Tableau and Power BI
• Experience with data mining and machine learning techniques
Job Responsibilities
• Collect, analyze, and interpret large amounts of data from multiple sources
• Develop algorithms and models to make predictions and decisions
• Communicate findings to stakeholders and other members of the team
• Develop and implement data-driven solutions to business problems
• Monitor and evaluate data-driven solutions
• Stay up to date with the latest trends and technologies in data science