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Senior Data Science Neuroscience Jobs in California

PROPRIUS

Senior Data Scientist

San Francisco, CA · On-site

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry ... Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... Collaborate effectively with internal clients to translate their needs into data science use cases.

Sharp Decisions

Senior Data Scientist

San Francisco, CA · On-site

Senior Data Scientist The Opportunity The Senior Data Scientist in Data, Analytics, and AI develops ... Collaborate with Data Science Product Owners/Managers, Data Leads, ML Engineers, and other cross ...

Kinect

Senior Data Scientist

Calabasas, CA · On-site

Senior Data Scientist -- Revenue Management Los Angeles, CA (Hybrid) | Full-Time We're looking for ... to join a high-impact revenue science team at a well-known hospitality and travel brand ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

Act as a senior data science expert within R&D, partnering with cross-functional teams across software, clinical, and research domains * Drive product innovation by leveraging clinical and ...

PROPRIUS

Senior Data Scientist

Sunnyvale, CA · On-site

Senior Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: Do you ... To have solved challenging data science problems fundamental to their business. * Contributed to ...

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All JobsData Science Neuroscience JobsSenior Data Science Neuroscience JobsSenior Data Science Neuroscience Jobs in California

Senior Data Science Neuroscience information

What is the difference between Senior Data Science Neuroscience vs Data Scientist Neuroscience?

AspectSenior Data Science NeuroscienceData Scientist Neuroscience
Required CredentialsMaster's or PhD in Data Science, Neuroscience, or related fieldsBachelor's or Master's in Data Science, Neuroscience, or related fields
Work EnvironmentAdvanced projects, team leadership, strategic planningData analysis, model development, research tasks
Employer & Industry UsageResearch institutions, biotech, healthcare companiesTech firms, research labs, healthcare organizations

The main difference between Senior Data Science Neuroscience and Data Scientist Neuroscience lies in experience level and responsibilities. Senior roles typically involve leadership, strategic planning, and complex project management, while Data Scientists focus on data analysis and model development. Both roles require strong backgrounds in neuroscience and data science, but senior positions demand more experience and often involve mentoring or overseeing projects.

Can I become a senior data science neuroscientist with a neuroscience degree?

A neuroscience degree provides a strong foundation for a senior data science neuroscientist role, but additional skills in programming, statistics, and machine learning are typically required. Gaining experience with data analysis tools like Python or R and understanding neuroimaging or neural data can enhance qualifications for this specialized position.

What are the most commonly searched types of Data Science Neuroscience jobs in California?

The most popular types of Data Science Neuroscience jobs in California are:

What cities in California are hiring for Senior Data Science Neuroscience jobs?

Cities in California with the most Senior Data Science Neuroscience job openings:

Senior Data Science Neuroscience jobs near you

Sr Data Science & Sr Data Science & Analytics W2 Preferred

PDDN Inc

Alameda, CA • On-site

Other

Posted 4 days ago

Job description

Role name: Sr Data Science & Analytics
Work Location: Alameda, CA (Onsite)
Start date: Immediate availability.
Type: Contract
Interview: Phone/Video

Lead and develop a high-performing team of Data Scientists and Product Analysts
This person would be responsible for directing a multidisciplinary team that includes:
Data Scientists building predictive and AI models
Product Analysts measuring customer behavior and product performance
Analytics engineers and platform specialists (likely indirectly)
Vendor and contractor resources as needed
Key responsibilities
Define team structure, hiring plans, and skills development
Establish goals, KPIs, and accountability mechanisms
Coach team members and conduct performance reviews
Create a culture of experimentation and innovation
Ensure analytics work translates into measurable business outcomes
Expected business outcomes
Faster product decision-making
Improved customer engagement
Better AI-powered features
Stronger analytics maturity across the organization


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