Register
Recruit Create CV

Lead Data Analytics and Engineering Scientist Jobs in California

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
Jr. Data Scientist, Minerva Analytics
By Amazon.com Services LLC At , San Diego Up to $75.63 an hour
Currently enrolled in an accredited college or university Bachelor's degree program.
Majoring in Data Science, Computer Science, or a related STEM discipline.
Graduation date falls between December 2024 and June 2026.
Ability to work year-round: part-time during the school year and full-time during the summer.
Living within commutable distance to San Diego, CA.
Effectively articulate technical challenges and solutions.
Data Analytics Lead Jobs
By Cyberjin At San Diego, CA, United States

Ability to handle multiple tasks simultaneously, maintain focus, and adapt to a variety of challenges in a fast-paced agile environment

5 Location / ability to relocate to: Chicago (highly preferred) or San Diego

Technical Program Manager Ii, Data Engineering And Analytics
By Google At San Francisco, CA, United States
Bachelor’s degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience.
6 years of experience in data using SQL and Python languages.
3 years of experience in architecting and leading data engineering, data warehousing, dimensional modeling, data analytics, business intelligence, and data solutions.
2 years of experience managing projects.
2 years of experience managing cross-functional or cross-team projects.
Experience leading organizational change efforts using data tools and solutions to improve organization efficiency.
Data Scientist / Quality Engineering Lathrop
By Tesla At Lathrop, CA, United States
Work with management to prioritize business and information needs
Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
Extensive experience writing software with Python
Experience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)
Experience and interest in frontend development, preferably with the Javascript React framework
Knowledge of various data communication protocols (e.g. REST API, Websockets)
Senior Data Scientist And Ai Lead
By Plantible Foods At San Marcos, CA, United States
Prior experience in management and team leadership roles
Leverage deep domain knowledge in remote sensing applications in agriculture to drive innovation
Deep understanding of remote sensing applications in agriculture, including data sources, trends, and business requirements
Implement cutting-edge AI models and data pipelines for remote sensing applications in agriculture
Manage data acquisition, cleaning, and feature engineering
Expertise in designing and implementing AI models and data pipelines for remote sensing applications in agriculture
Data Scientist, Analytics Jobs
By Airtable At Los Angeles, CA, United States
Manage the design and analysis of experiments; develop and socialize a rigorous culture of experimentation throughout the entire company.
You have 6+ years previous experience as a data scientist, data analyst, or data engineer
You have strong knowledge of statistics and experimental design.
Partner with sales teams to help drive insights, identify opportunities, and understand behavior and long-term trends.
Take a leading role in producing new datasets that unlock business opportunities.
Play a foundational role in building a data culture at Airtable through reproducible work, improved processes, and better tooling.
Scientist - Protein Engineering
By Bristol Myers Squibb At San Diego, CA, United States
Bachelor's Degree in structural biology, biochemistry, molecular biology, or related discipline and 5+ years of academic / industry experience
Master's Degree in structural biology, biochemistry, molecular biology, or related discipline and 3+ years of academic / industry experience
PhD in structural biology, biochemistry, molecular biology, or related discipline No experience required
Ph.D. in structural biology, biochemistry, molecular biology, or related discipline ; Master’s degree with at least 3 years of post-graduate experience
Some experience with protein-protein binding assays (Biacore, Octet) desired
Responsibilities will include, but are not limited to, the following
Lead Data Scientist Jobs
By Glo At Los Angeles, CA, United States
Manage Data Engineer and mentor junior data scientists, providing guidance on best practices.
Stay up-to-date with advancements in data science to improve modeling capabilities.
You are familiar with machine learning and data mining techniques, and you have experience building predictive models.
You have experience working with large datasets, and you are able to identify and address data quality and integrity issues.
You have proven experience mentoring junior data scientists and guiding best practices in modeling and analysis.
At least 5 years of experience in data science, machine learning, and statistical modeling.
Data Scientist Lead Jobs
By eBay At San Jose, CA, United States
Great articulation skills - ability to explain complex analyses and insights into simple terms
Solid background in ecommerce product experience
Good experience with both descriptive and inferential statistics – ability to build basic prototype models
Experience with site experimentation (A/B testing)
Strong analytical competence with thought leadership and critical thinking
Strong quantitative background with Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering. Master’s degrees preferred

Are you a data analytics and engineering scientist looking to make an impact? We are looking for a passionate and experienced individual to join our team and help us develop innovative solutions to complex problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of experts to create data-driven solutions that will drive our business forward. If you are excited by the prospect of working on challenging projects and pushing the boundaries of data science, this is the job for you!

What is Lead Data Analytics and Engineering Scientist Skill Requirements?

• Strong knowledge of data analytics, engineering, and scientific principles
• Proficiency in programming languages such as Python, R, and SQL
• Ability to analyze large datasets and draw meaningful insights
• Excellent problem-solving and communication skills
• Ability to work independently and collaboratively

What is Lead Data Analytics and Engineering Scientist Qualifications?

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
• 5+ years of experience in data analytics, engineering, and/or scientific research
• Experience with machine learning and artificial intelligence
• Experience with data visualization tools such as Tableau and Power BI

What is Lead Data Analytics and Engineering Scientist Knowledge?

• Knowledge of data mining and predictive analytics
• Knowledge of statistical analysis and modeling techniques
• Knowledge of cloud computing platforms such as AWS and Azure
• Knowledge of data security and privacy protocols

What is Lead Data Analytics and Engineering Scientist Experience?

• Experience with data engineering and ETL processes
• Experience with data warehousing and data lake architectures
• Experience with data governance and data quality management
• Experience with data analysis and reporting tools

What is Lead Data Analytics and Engineering Scientist Responsibilities?

• Develop and implement data analytics and engineering strategies
• Analyze large datasets to identify trends and patterns
• Develop predictive models and machine learning algorithms
• Design