Senior Data Scientist - Remote UK (Stock Options)

Embedded Shishya; United States; Remote; USD 81,000 - 94,000; Full time

Benefits offered by this job

Competitive Stock

Generous PTO

Pension

Sick Leave

Parental Leave

Learning & Development Budget

Job summary

Focal Systems, a leader in retail AI, seeks a Senior Data Scientist for the Analytics team. You will own end-to-end problems, design experiments, and deliver insights that influence product, engineering, and operations. This senior IC role sets the technical direction and mentors others.

You will work remotely within the UK, partnering across disciplines to drive measurable improvements in our retail AI offerings and ensure high-quality analytics across the company.

Qualifications

• 5+ years as a Data Scientist or similar role with shipped analyses/models.
• Strong SQL proficiency including complex CTEs and window functions.
• Strong Python for data work (pandas, NumPy; statsmodels or similar).
• Solid applied statistics background: hypothesis testing, regression, experimental design.

Responsibilities

• Own analytical problems end to end from framing to rollout.
• Build predictive/inferential models that improve product decisions.
• Develop reusable methods to measure performance and outcomes.
• Collaborate with Product, Engineering and Operations on metrics and features.
• Audit outputs and provide feedback to improve accuracy and reliability.
• Communicate findings through dashboards and stakeholder presentations.

Skills

SQL

Python

Statistics

A/B testing

Experiment design

Communication

Mentorship

Data storytelling

Tools

Snowflake

Sigma

Looker

BI tools

Job description

Focal Systems, a leader in retail AI, seeks a Senior Data Scientist for the Analytics team. You will own end-to-end problems, design experiments, and deliver insights that influence product, engineering, and operations. This senior IC role sets the technical direction and mentors others.

You will work remotely within the UK, partnering across disciplines to drive measurable improvements in our retail AI offerings and ensure high-quality analytics across the company.