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
Data visualization Jobs in San Mateo, CA
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Data visualization • san mateo ca
Last updated: 23 hours ago
Director, Data Center Controls Engineering- Data Centers
sb energyRedwood City, CA, United StatesOur values guide how we operate.Taking pride in creating new possibilities, we are dedicated to:.Cultivate Team Learning and Growth.Benefits of Working with SB Energy.SB Energy is committed to help... Show more
Market Lead - Data Centers
bkf engineersRedwood City, CA, United StatesBKF is a multi-service infrastructure consulting firm providing civil engineering and surveying services across California, the Pacific Northwest, and beyond.With offices throughout California and ... Show more
Data Engineer
vertex sigma softwareFoster City, CA, USTechnical 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
Director, Data Analytics
poshmarkRedwood City, CA, United StatesPoshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.Powered by a vibrant community of 165 million members, Poshmark brings r... Show more
Data Excellence Manager
stripeSouth San Francisco, CA, United StatesBuild and lead a team of FTE and outsourced Sales Operations experts to improve our customer data.You will partner with GTM leadership to understand gaps and address them through processes, policie... Show more
Manager of Data Engineering & Delivery (Data Science Production Engineering)
nateraSan Carlos, CA, United StatesManager of Data Science Production Engineering, Data Engineering & Delivery.This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision ... Show more
Data Services Technical Coordinator
intersourcesSan Mateo, CA, United StatesData Services Technical Coordinator.On-site/Remote/Hybrid: REMOTE with 6 days onsite in a month (Tuesday, Wednesday, Thursday - of 2nd and 4th week of the month).Interview Process: Will Update.Equ... Show more
Market Lead - Data Centers
bkfRedwood City, CA, USBKF is a multi-service infrastructure consulting firm providing civil engineering and surveying services across California, the Pacific Northwest, and beyond.With offices throughout California and ... Show more
Business Data Analyst
e teamSan Mateo, California, United StatesAnalyze 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
Data Analyst
TradeJobsWorkforce94128 South San Francisco, CA, USMake 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
Data Services - Technical Coordinator
zencon groupSouth San Francisco, CA, United StatesThis position is on-site 6 days a month.While the schedule and amount can change, it usually occurs on Tuesdays, Wednesdays, and Thursdays of weeks 2 and 4 of the month.The technical coordinator wi... Show more
Director, Data Management
enigma searchSouth San Francisco, CA, United StatesSouth San Francisco, California, United States.Maze Therapeutics is seeking a Director of Data Management to lead clinical data management strategy and execution across multiple development program... Show more
Associate, AI & Data Infrastructure
bessemer venture partnersRedwood City, CA, United StatesAssociate, AI & Data Infrastructure.Redwood City, California, United States, San Francisco, California, United States.We're hiring an Associate to join our investing team, focusing on early-stage o... Show more
Data Center Technician
service robotRedwood City, California, United StatesRedwood City, California | On-site work | Contract, paid per work order or shift | $25 to $55 per hour.We supply all types of robots for all types of automation.We handle site assessments, robot se... Show more
Project Manager, Data Trust
verkadaSan Mateo, CA, United StatesVerkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air q... Show more
Product Data Management Analyst
simbe roboticsBurlingame, CA, United StatesSenior 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
Engineering Manager, Data Tooling
robloxSan Mateo, CA, United StatesFor roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below.The actual base pay is dependent upon a variety of job-related factors such ... Show more
Product Manager, Data Engine
dyna roboticsRedwood City, CA, United StatesDyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance.Already deployed with customers acro... Show more
Senior Manager, Data Engineering
visaSan Mateo, CA, United StatesSenior Manager, Data Engineering.The Senior Manager, Data Engineering, leads teams in designing, building, and overseeing the deployment and operation of technology architecture, solutions, and sof... Show more
The average salary range is between $ 92,500 and $ 175,350 year , with the average salary hovering around $ 113,500 year .
- american sign language interpreter (from $ 70,941 to $ 551,925 year)
- cardiothoracic surgeon (from $ 180,950 to $ 248,150 year)
- radiologist (from $ 52,679 to $ 248,150 year)
- forensic pathologist (from $ 137,637 to $ 244,941 year)
- director of software engineering (from $ 184,000 to $ 240,000 year)
- psychiatrist (from $ 50,000 to $ 240,000 year)
- engineering director (from $ 152,194 to $ 235,034 year)
- medical director (from $ 142,692 to $ 235,000 year)
- product director (from $ 164,990 to $ 234,997 year)
- director of engineering (from $ 131,776 to $ 234,277 year)
- Santa Clara, CA (from $ 98,000 to $ 200,000 year)
- Chicago, IL (from $ 99,238 to $ 192,500 year)
- Sunnyvale, CA (from $ 71,175 to $ 187,500 year)
- Seattle, WA (from $ 90,000 to $ 179,375 year)
- San Jose, CA (from $ 92,500 to $ 175,475 year)
- San Mateo, CA (from $ 92,500 to $ 175,350 year)
- San Francisco, CA (from $ 90,063 to $ 175,000 year)
- Phoenix, AZ (from $ 101,350 to $ 173,740 year)
- Daly City, CA (from $ 79,450 to $ 171,500 year)
- New York, NY (from $ 80,916 to $ 165,675 year)
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
Data Scientist
TephraSFO, CA30+ days ago
Job type
- Full-time
Job description
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