Staff Data Scientist, Product

DataJobs; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Vacation 20 days per year

Sick time 40 hours/year

Maternity Leave

Baby Bonding Leave

Paid days off 13 per year

Job summary

DataJobs seeks a senior analytics professional to drive measurable business improvements for Product and Engineering partners. You will lead end-to-end analytics projects, from problem framing to stakeholder communication, using SQL, R and Python.

The role emphasizes proactive analyses, scalable infrastructure, and mentoring others in advanced analytics. Located in Mountain View, CA, this onsite position offers a high compensation package with a 20% target bonus, equity and robust benefits.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10+ years of work experience using analytics to solve product or business problems, including statistical analysis and coding (Python, R, SQL).
• Alternative: 8+ years plus a Master's degree with analytics, statistical analysis, and coding experience.

Responsibilities

• Conduct analysis using SQL, R, and Python.
• Proactively propose new analyses, infrastructure, or experiments to improve business outcomes.
• Own project results end-to-end, including problem definition, metric development, data extraction and manipulation, visualization, and stakeholder presentation.
• Frame ambiguous problems, form hypotheses, and recommend solutions by combining analytical depth with product-specific expertise.
• Coordinate cross-functional and cross-organizational project and process timelines.
• Develop process improvements and recommendations, and help define operational goals and objectives.
• Directly or indirectly oversee others' contributions and support colleagues' growth in the area of specialization.

Tools

SQL

R

Python

Job description

Use quantitative analytics to support Product and Engineering partners and help drive measurable business improvements through end-to-end project ownership.

Responsibilities

• Conduct analysis using relevant tools such as SQL, R, and Python
• Provide analytical thought leadership by proactively proposing new analyses, infrastructure, or experiments to improve business outcomes
• Own project results end-to-end, including problem definition, metric development, data extraction and manipulation, visualization, model/statistical model creation and implementation, and stakeholder presentation
• Frame ambiguous problems, form hypotheses, and recommend solutions by combining analytical depth with product-specific expertise
• Coordinate cross-functional and cross-organizational project and process timelines
• Develop process improvements and recommendations, and help define operational goals and objectives
• Directly or indirectly oversee others' contributions and support colleagues' growth in the area of specialization

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
• 10+ years of work experience using analytics to solve product or business problems, including statistical analysis and coding (e.g., Python, R, SQL)
• Alternative: 8+ years plus a Master's degree, with analytics, statistical analysis, and coding experience

Technologies

• SQL
• R
• Python

Preferred Qualifications

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
• 12+ years of work experience using analytics to solve product or business problems, including statistical analysis and coding (e.g., Python, R, SQL)

Location

• Mountain View, CA (onsite)

Compensation

• USD $192,000 - $278,000 per year
• In the US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Benefits

• Health, dental, vision, life, disability insurance
• 401(k) with company match
• 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• 40 hours/year sick time (increased to 69 hours/year for Seattle), including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• 13 paid days per year

Application Location Options

When you apply, you can share your preferred working location from:

• Kirkland, WA, USA
• Sunnyvale, CA, USA
• Mountain View, CA, USA