Data Scientist
TephraSFO, CALocation: San Francisco, CA Responsibilities: - Data Collection & Preparation: •Gather, clean, and preprocess large datasets from various sources •Perform exploratory data analysis (EDA) to underst... Show more
Sql data analyst • san mateo ca
Location: San Francisco, CA Responsibilities: - Data Collection & Preparation: •Gather, clean, and preprocess large datasets from various sources •Perform exploratory data analysis (EDA) to underst... Show more
Onsite Expectation: Hybrid, 3 days on-site.Role Overview: The Process Improvement team within Fleet Operations focuses on improving and scaling the operation.Zoox is starting to emerge from its R&D... Show more
Technical Service Data Engineer.Schedule: Monday to Friday, 8 am to 5 pm.We are looking for a Technical Service Data Engineer who would translate complex engineering specifications and 3D CAD data ... Show more
Conduct Gap analysis, map business workflow/data flow to find a root cause, and translate business problems for technical needs.Develop solid business cases to drive value creation through alignmen... Show more
Marketplace Partner Payments Financial Operations Role.This role will be a key contributor to the Marketplace Partner Payments Financial Operations team with a primary focus on Payments Compliance ... Show more
Analyze complex datasets to extract actionable insights, helping guide strategic decision-making and business improvements.Perform statistical analyses to identify trends, patterns, and correlation... Show more
Make an impact in the role of Netflix Data Analyst to analyze viewer data to guide content decisions.Ensure all safety and quality standards are met.Work closely with your team to maintain high per... Show more
Location: San Bruno, California.Serves as a liaison between the business community and the IT organization in order to provide technical solutions to meet user needs.Possesses expertise in the busi... Show more
We are seeking a talented and highly motivated Data Scientist for our Advanced Analytical Technologies team within the Analytical Development organization.The Data Scientist will research, develop,... Show more
Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat.Backed by Amazon and founded to ... Show more
Client's Reality Labs team is looking for a Business Analyst to own demand forecasting for our VR headset and wearables product lines.You'll build and maintain sell-through and sell-in forecasts, p... Show more
This role works closely with various business stakeholders, cross-functional teams including Sales, Customer Service, Finance, IT and the Warehouse to support daily operations, identify areas for i... Show more
Serves as a liaison between the business community and the IT organization in order to provide technical solutions to meet user needs.Possesses expertise in the business unit(s) they support, as we... Show more
Quality without Compromise' is not just a motto at See's Candies.It is the most important ingredient in our recipe for success.See's Candies has been in business since 1921 and maintains a reputati... Show more
Arial,Helvetica,sans-serif;"><strong>On-Site role</strong></span></span></p> <p><span style="font-size:12px;"><span style="font-f... Show more
Senior Product Data Management Analyst.San Francisco Bay Area (Hybrid Burlingame office 2-3x/week required) Must currently reside locally; this is not a remote-eligible role.The Senior Product Dat... Show more
Company is looking for a Business Analyst to own demand forecasting for our VR headset and wearables product lines.You'll build and maintain sell-through and sell-in forecasts, partner with sales a... Show more
Work Arrangement: Hybrid Minimum 2 day onsite per week.Employment Type: Part-time, 20 hours per week.Education: Bachelor's degree in Business, Finance, Accounting, or Economics.Extension: Possible... Show more
The primary purpose of the position is to serve as a program analyst performing assignments that are typically limited in scope or clearly defined segments of larger projects.The employee performs ... Show more
Location: San Bruno California Duration: 12 Months No h1 No ead Only gc and citizen.Description: Consultant will be heavily involved in Testing/Recommending/Leading Market web presence.Will be work... Show more
The average salary range is between $ 85,000 and $ 125,263 year , with the average salary hovering around $ 95,000 year .
The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
Description:
Location: San Francisco, CA Responsibilities: - Data Collection & Preparation: •Gather, clean, and preprocess large datasets from various sources •Perform exploratory data analysis (EDA) to understand the structure and quality of the data •Apply data wrangling techniques to handle missing, inconsistent, or incomplete data Statistical Analysis & Modeling: •Use statistical techniques to identify patterns, correlations, and trends in data •Develop predictive and prescriptive models using machine learning algorithms •Build, test, and optimize models (e.g., regression, decision trees, random forests, SVM, deep learning, etc. •Perform hypothesis testing and A/B testing to validate assumptions and recommendations Machine Learning & AI Implementation: •Implement machine learning models and algorithms for various business •Leverage deep learning techniques and neural networks when necessary •Monitor the performance of deployed models, providing regular updates Data Visualization & Reporting: •Create interactive and insightful visualizations using tools such as Tableau, Power BI, or libraries like Matplotlib and Seaborn (for Python). •Present complex technical findings to non-technical stakeholders •Prepare detailed reports and dashboards that track key performance indicators (KPIs) and other business metrics Collaboration & Communication: •Work closely with cross-functional teams, including business analysts, product managers, and engineers, to define project goals and requirements •Communicate findings, methodologies, and insights effectively to both technical and business audiences •Provide actionable recommendations to help drive data-informed decision-making Continuous Improvement: •Stay up-to-date with the latest research, tools, and techniques in data science and machine learning. •Experiment with and implement cutting-edge machine learning algorithms and techniques. •Contributes to the refinement and optimization of existing data models and processes. Data Governance & Ethics: •Ensure data integrity and privacy by following best practices in data handling and processing. •Work in compliance with data security standards and ethical guidelines. Requirements: Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is a plus. Technical Skills: •Strong proficiency in programming languages such as Python, R, or Java. •Solid knowledge of statistical analysis and machine learning techniques. •Hands-on experience with data manipulation and analysis using libraries like Pandas, NumPy, Scikit-learn, etc. •Familiarity with big data technologies such as Hadoop, Spark, or similar. •Experience with databases (SQL, NoSQL) and data extraction techniques. •Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Analytical Skills: •Excellent problem-solving abilities and critical thinking skills. •Strong understanding of statistical methods, hypothesis testing, and data modeling Soft Skills: •Strong written and verbal communication skills. •Ability to explain complex technical concepts to non-technical audiences. •Detail-oriented with a strong focus on quality and accuracy. Experience: •Proven experience (2-5 years) in a data scientist role or similar. •Experience in implementing machine learning models in a production environment is preferred. •Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch. •Knowledge of NLP (Natural Language Processing) and computer vision techniques. •Experience working with large-scale datasets in a cloud computing environment. Work Environment: •Collaborative and fast-paced work environment. •Opportunity to work with state-of-the-art technologies. •Supportive and dynamic team culture #LI-AD1