Sr. Data Science & Analytics
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Overview
Remote
On-site
Compensation
$68-$70/hour
Job Description
Description: 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
- 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
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
FAQs About Sr. Data Science & Analytics Jobs at Talent Software Services, Inc.
What is the work location for this position at Talent Software Services, Inc.?
This job at Talent Software Services, Inc. is located in Alameda, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Talent Software Services, Inc.?
Candidates can expect a pay range of $68–$70 per hour for this role.
What employment applies to this position at Talent Software Services, Inc.?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Talent Software Services, Inc.?
You can apply for this role at Talent Software Services, Inc. either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.