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Data Scientist Jobs in San Francisco, California

Data Scientist - Search Insights
By eBay At San Francisco, CA, United States
5+ years relevant professional experience or Master's degree and 3+ year working experience
Prior experience in Search and understand how a search engine works
Consistent track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities
Good experience with both descriptive and inferential statistics – ability to build basic prototype models
Experience in a leading technology company
Background in e-commerce product experience
Junior Data Scientist-Us Jobs
By Patterned Learning AI At San Francisco, CA, United States
Experience with big data tools/platforms such as Hadoop, Spark, Kafka, Hive, etc.
100% REMOTE (US/Canada Residing people only, with work permit)
Special Benefits You Will Love
Must be self-motivated, results-driven, team player able to work with minimum supervision
Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks, Naive Bayes, SVM, Decision Forests
Proven ability in data wrangling, modeling, visualization, machine learning, and project leadership
Lead People Data Scientist
By Atlassian At , San Francisco, Ca
Expert knowledge of advanced statistical methods (e.g., could include: regression, cluster analysis, HLM, social network analysis, text analysis, longitudinal methods, etc.)
Advanced Python or R skills
Knowledge of Git is a plus
Conduct rigorous analyses to uncover data-driven people insights, and then test and iterate to understand feasibility and interest before scaling.
Help scale compelling insights from people data by building automated internal processes and/or products.
Learn from and collaborate with other Data Scientists, and mentor others on the team
Data Scientist I Jobs
By Early Warning Services At , San Francisco, 94111, Ca
Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience.
Experience using data visualization tools.
SAS, Python, SQL or R programming training or experience.
Experience in writing and tuning SQL.
Experience developing data science pipelines & workflows in Python, R or equivalent programming languages.
check our Benefits page here
Staff Data Scientist Jobs
By SoFi At San Francisco, CA, United States
Synthesize data into succinct presentations that influence senior management decision making
Knowledge of statistical modeling or machine learning is preferred but not a requirement
8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns
Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired
Intellectual curiosity and aptitude to pick up new technical skills
Strong programming skills in SQL, Python and proficiency in Tableau
Data Scientist Jobs
By Wish At , San Francisco, 94103, Ca $141,000 - $169,000 a year
Conceptualize and build centralized tools (including pipelines) that can extract data/insights for daily business management in an automated manner.
3+ years of work experience in doing experimentation and machine learning.
Proficiency in SQL or other query languages, deep experience and strengths to develop complex queries.
Development experience in at least one scripting language (Python, PHP etc.).
Strong analytical and problem-solving skills; ability to transform data into business insights and actionable recommendations.
Experience working with large data sets that are structured and partially structured.
Data Scientist, Sales & Success
By Notion At , San Francisco, 94110, Ca $160,000 - $210,000 a year
Experience working with Sales, Customer Success, Revenue Operations, and/or Finance
You have experience building predictive models, and you know how to evaluate their effectiveness
Skills You'll Need to Bring:
Partner closely with our Data Engineering and Business Systems teams to build high fidelity, canonical customer data pipelines
You have expertise in at least one scripting language (ideally Python or R)
You're comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet
Marketing Data Analyst/Scientist
By Productboard At San Francisco, CA, United States
3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
Experience with Web Analytics Tools (Google Analytics, Amplitude, Segment, etc.)
Experience working in a fast-paced startup environment is a plus
Strong verbal and written communication skills
Conduct deep-dive analysis of marketing campaigns to identify trends, insights, and opportunities for optimization
Build and maintain dashboards to track key performance metrics across all marketing channels
Data Scientist/Senior Data Scientist
By SLB At Menlo Park, CA, United States
Communicate complex ML concepts to management, clients, and the business
Demonstrate advanced working knowledge and experience with data analytics, machine
Works effectively with peers, management, operations groups, and outside
Maintain state-of-the-art knowledge and contribute to technical discussions and reviews
Actively disseminate knowledge via Webinars, talks and tutorials for the technical
Strong knowledge of latest Generative AI technologies, preferably Large Language
Sr. Data Scientist (Strategic Insights)
By Sony Interactive Entertainment At San Mateo, CA, United States
Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow)
Use your knowledge in causal inference, machine learning, and statistical modeling to develop robust predictive models and identify causal relationships
Knowledge of gaming industry and relevant gaming titles
5+ years of experience using statistical packages (R or Python) for model development
Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners
In-depth understanding and experience using supervised and non-supervised machine learning techniques
Senior Data Scientist, Pricing & Promotions
By Petco At Sacramento, CA, United States
Perform other related duties, tasks and responsibilities as required, assigned and directed.
Previous experience working with Machine Learning/Deep Learning for real world problems is a must
3+ years’ experience in business analytics and data science
Hands on experience with BI tools; Tableau /R shiny/Looker
Excellent quantitative modeling, statistical analysis skills and problem-solving skills.
Related experience in a retail organization is a strong plus
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, 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, Buyer Success Analytics
By eBay At San Jose, CA, United States
E-commerce experience and customer segmentation knowledge a plus.
Strong technical skills to turn big data into concrete insights with hands-on ability in using SQL, R, Python, Tableau, etc.
Proven track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities.
Great articulation and communication skills - ability to explain complex analyses and insights into simple terms
Strong background in ecommerce product experience
Strong quantitative background with 2-3 years experience and a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering. Master’s degrees preferred
Staff Data Scientist, Analytics
By Airwallex At San Francisco, CA, United States
7+ years industry experience and an advanced degree in a quantitative field
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Experience in technology, financial services and/or a high growth environment is advantageous
Ability to perform statistical analysis to drive data-informed decisions
Staff Data Scientist, Cash App Compliance
By Cash App At San Francisco, CA, United States
Collaborate with partners from engineering to customer experience to inform strategic builds of essential compliance program elements
Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)
Deep experience using data to solve complex, ambiguous problems
Vision to define problems and manage projects in a fast-­paced, evolving organization
Paid Life insurance, AD&D, and disability benefits
Perform deep dive analysis into different customer segments and/or products to identify pockets of compliance risk
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 Intern Jobs
By Electronic Arts (EA) At Los Angeles, CA, United States
Experience using statistics, mathematics, or machine learning to analyze large amounts of complex, multidimensional data
You will analyze and interpret large amounts of complex game data and i dentify player behaviors
You will construct mathematical or machine learning models
You will construct clear visualizations
You will build custom data sets to improve model performance
You will present findings to important partners, which may include all kinds of audiences
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 ...

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 insights from our data to drive our business forward. You will have the chance to work with cutting-edge technologies and collaborate with a diverse team of experts. If you are passionate about data and eager to make a difference, this could be the perfect role for you!

Data Scientist Job Description Data Scientist job is a highly sought after role in the field of data science and analytics. Data Scientists are responsible for collecting, analyzing, and interpreting large amounts of data to identify trends and patterns that can be used to inform business decisions. They use a variety of tools and techniques to uncover insights from data, such as machine learning, statistical analysis, and data visualization. Data Scientist Job Skills

Data Scientists must have strong analytical and problem-solving skills, as well as a deep understanding of mathematics, statistics, and computer science. They must also be able to communicate their findings effectively to stakeholders. Other skills required for a Data Scientist job include:

• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data mining and machine learning techniques
• Ability to work with large datasets
• Ability to interpret and present data in a meaningful way
• Ability to think critically and creatively
• Ability to work independently and collaboratively
Data Scientist Job Qualifications Data Scientists typically have a bachelor’s degree in a related field such as computer science, mathematics, statistics, or engineering. They may also have a master’s degree or a PhD in a related field. In