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
Senior Data Scientist (Battery)
By Lawrence Harvey At San Francisco Bay Area, United States
Deployment of AI models on managed cloud services such as AWS and GCP
Senior Data Scientist (Battery Storage) responsibilities:
Senior Data Scientist (Battery Storage) experience:
Hands on analysis of large-scale time series battery data
Design of AI models and Python implementation, verification and testing
Implementation of performance metrics to assess the efficacy of the AI models
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.
Marketing Data Scientist Jobs
By Harnham At San Francisco Bay Area, United States
5+ years’ experience in marketing analytics with a background working with large complex customer data sets
Deep knowledge of experiment design and causal inference
Experience with growth marketing and LTV
Expert knowledge of SQL and Python
Bay Area OR Remote (PST timezone)
Identify opportunities to help the marketing department scale through acquisition, engagement and retention strategies.
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, Product Jobs
By Notion At San Francisco Bay Area, United States
You have experience building predictive models, and you know how to evaluate their effectiveness.
You have experience at a B2B SaaS company.
Skills You Need to Bring:
You have expertise in SQL and at least one scripting language (ideally Python or R).
You know how to use statistical inference and experimentation to drive actionable recommendations.
You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.
Data Scientist Jobs
By Rippling At San Francisco Bay Area, United States
Experience partnering closely in a SAAS setting with business partners from the Finance, Sales and Marketing teams.
Ability to actively manage and influence stakeholders through strong communication skills, both in verbal and written form.
Ruthless prioritization and time management.
Experience with causal inference and predictive modeling.
Develop and maintain forecasting models to predict key business metrics, such as ARR, user acquisition, and retention.
Be the expert in experimental design, predictive modeling, and attribution.
Data Scientist - Financial Data
By Leland Shaw LLC At San Francisco Bay Area, United States
- Manage software release cycle following the DevSecOps model.
- 7 or more years of experience with Python and other scripting languages
- Experience with financial market datasets and sources – cleaning/ merging with other datasets
- Exposure and/or experience in AL/ML toolset and models, recent advancements in Generative AI is preferable
- Good communication skills along with inter-personal skills to connect with investment professionals
- Azure experience is a nice to have. Other Cloud experience will work
Data Scientist/Senior Data Scientist, Metabolomics
By Calico Life Sciences At South San Francisco, CA, United States
Ph.D. with 1-2 years or M.S. with 5+ years B.S. with 7+ years relevant data science and software development experience
Experience working with mass spectrometry data
Experience applying statistical and machine learning methods
Experience in joining metabolomics data with other data modalities, including proteomics and genomics
Knowledge of in silico representations of metabolism, such as genome-scale metabolic models
Work with scientists throughout R&D to design experiments and contribute to the analysis of the resulting data
Data Scientist Jobs
By Intelling Media Corp At San Carlos, CA, United States
Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 1 - 2 years' of experience in quantitative analytics or data modeling
Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements
Proteomics Data Scientist Jobs
By BioSpace At Redwood City, CA, United States
Strong written and oral communication skills, with demonstrated experience in cross-functional and timely communication
Minimum 5+ years experience in an academic or life-sciences industry laboratory setting
Superior Python or R skills in data analysis, statistics and data science methods. Comfortable in Jupyter/RStudio environments
Knowledge of established proteomics software pipelines, e.g. Skyline, OpenMS, MaxQuant, MSFragger and other proteomic computational tools
Effectively communicate proteomics and data-related topics to customers to help them better understand Seer technology and the data derived from it
Apply novel methods to internal and external data to demonstrate impact
Scientist/Senior Scientist, Protein Sciences
By Vicinitas Therapeutics At , South San Francisco, 94080, Ca $130,000 - $165,000 a year
Provide expertise and insight for construct design and purification protocols for protein production. CRO management experience is beneficial.
Willing to provide scientific training and mentorship to junior staff. Managerial experience is beneficial.
Ph.D. degree and postdoctoral training (or equivalent) in biochemistry, structural biology or related discipline, biopharmaceutical experience is a plus.
Extensive protein biochemistry experience working with challenging proteins and multi-protein complexes.
Experience with AKTA FPLC systems and various methods of chromatography (e.g. IMAC, SEC, IEC, HIC). Comfortable using automated systems.
Experience with mass spectrometry and sample preparation is desired.
Data Scientist Jobs
By Gordian Biotechnology At South San Francisco, CA, United States
Data science methods applied to large biological datasets: Experience manipulating and analyzing large biological datasets.
Genomics data: Experience analyzing genomics data (RNA-seq or other).
Perform general quality control and characterization of large single-cell genomics datasets (transcriptomic, epigenetic etc.)
Apply secondary analysis workflows to single-cell genomics datasets and visualize results
Test and implement state-of-the-art tools for genomics data analysis and visualization
Assist in developing and coding novel analysis workflows for large-scale in vivo perturbation screens
Data Scientist Iv (Biomedical)
By Ascendion At San Francisco Bay Area, United States
PhD degree in Biostatistics, Bioengineering, Electrical Engineering, Computer Science, or equivalent practical experience.
5+ years experience and/or PhD with experience working with raw sensor data and experimental study design.
Experience with sensor failure analysis using proper study design and statistical analysis.
Collect, analyze, and manage complex multimodal physiological datasets.
Experience in the domain of (bio)-signal processing, statistics, analysis, and control theory.
Experience applying advanced statistical analysis to drive real world problems (especially HW development).
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 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 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

Are you looking for a challenging and rewarding Data Scientist Senior role? We are looking for a highly motivated individual to join our team and help us unlock the power of data! You will be responsible for developing and deploying advanced analytics solutions to drive business decisions and uncover insights. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of experts. If you are passionate about data and have a strong background in analytics, this is the perfect role for you!

What is Data Scientist Senior Skills Required?

• Advanced knowledge of statistics, machine learning, and data mining
• Proficiency in programming languages such as Python, R, Java, and SQL
• Ability to work with large datasets and draw meaningful insights
• Excellent communication and problem-solving skills
• Ability to work independently and in a team environment

What is Data Scientist Senior Qualifications?

• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• 5+ years of experience in data science
• Experience with data visualization tools such as Tableau and Power BI
• Knowledge of cloud computing platforms such as AWS and Azure
• Experience with big data technologies such as Hadoop and Spark

What is Data Scientist Senior Knowledge?

• Knowledge of data engineering and data warehousing
• Knowledge of predictive analytics and artificial intelligence
• Knowledge of data security and privacy
• Knowledge of data governance and data quality

What is Data Scientist Senior Experience?

• Experience with data analysis and data modeling
• Experience with data-driven decision making
• Experience with data-driven product development
• Experience with data-driven marketing

What is Data Scientist Senior Responsibilities?

• Develop and maintain data pipelines and data models
• Analyze large datasets to identify trends and patterns
• Create data visualizations