Junior Data Scientist

Remote; San Francisco (CA); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Generous share options

27 days' holiday (on top of publichols

Flexible working environment - outcome

Payment towards health insurance

Training & development opportunities

Employee assistance programme

Access to UK working locations (via no

Job summary

Remote in San Francisco seeks a Junior Data Scientist to help drive data-driven decisions. You'll work with statistical models, time series forecasting, and business reporting, using Python and SQL, and create visuals with Superset to support stakeholders.

You'll explain findings clearly to non-technical teams, maintain documentation, and collaborate with engineers on data access and pipelines. A strong foundation in Python, ML libraries, and analytics is expected.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Economics, Data Science, or a related field.
• 1-2 years of experience in the data space or equivalent relevant experience.
• Previous experience as a Data Analyst or Data Scientist, with Python as a primary tool.

Responsibilities

• Develop and apply statistical models and time series forecasting techniques to analyze business trends and performance.
• Perform exploratory data analysis to identify patterns, anomalies, and insights that drive strategic decision-making.
• Research, define, and refine new business metrics, ensuring they accurately capture business performance.
• Use SQL to query and manipulate data efficiently.
• Create data visualizations using BI tools (e.g., Superset) to support data-driven insights.
• Translate complex data insights into clear, actionable recommendations for business stakeholders.
• Maintain thorough documentation of methodologies, models, and findings for transparency and reproducibility.
• Collaborate with various teams including engineers to ensure efficient data access and integration.

Skills

Python (ML)

Time series forecasting

SQL querying

Data storytelling

Education

BSc/MSc in CS/Math/DS

Tools

Superset

GitHub

JIRA

Confluence

Job description

Join us!

We are looking for a Junior Data Scientist to join our team and contribute to data-driven decision-making. This role involves working with statistical analysis, time series analysis, and business reporting. The ideal candidate has a strong foundation in Python (including ML and statistical analysis libraries) and SQL for querying data, with experience in data visualization. The role also requires communication skills to present findings to non-technical stakeholders.

What you'll do

• Develop and apply statistical models and time series forecasting techniques to analyze business trends and performance.

• Perform exploratory data analysis to identify patterns, anomalies, and insights that drive strategic decision-making.

• Research, define, and refine new business metrics, ensuring they accurately capture business performance.

• Use SQL to query and manipulate data efficiently.

• Create data visualizations using BI tools (e.g., Superset) to support data-driven insights.

• Translate complex data insights into clear, actionable recommendations for business stakeholders.

• Maintain thorough documentation of methodologies, models, and findings for transparency and reproducibility.

• Collaborate with various teams including engineers to ensure efficient data access and integration.

What you'll have

• Strong Python skills, particularly libraries used for ML and statistical analysis (e.g., pandas, NumPy, scikit-learn, statsmodels, etc.).

• Knowledge of time series forecasting and statistical analysis.

• Experience with SQL for querying and data manipulation.

• Familiarity with BI tools (e.g., Superset) for data visualization is beneficial.

• Ability to communicate findings through data storytelling, translating numbers into clear, meaningful insights that drive business impact.

• Strong documentation skills to ensure reproducibility and knowledge sharing.

Even better if

• Familiarity with AWS or cloud-based environments

• Familiarity with GitHub, JIRA, and Confluence for collaboration and version control.

• Exposure to deployment concepts and working with engineering teams on productionizing models.

• Experience collaborating with data engineers on data pipelines and ETL processes.

Your background

• Bachelor's or Master’s degree in Computer Science, Mathematics, Economics, Data Science, or a related field.

• 1-2 years of experience in the data space OR equivalent relevant experience.

• Previous experience as a Data Analyst or Data Scientist, with Python as a primary tool.

What we offer

• Generous share options scheme

• 27 days' holiday (on top of public holidays)

• Flexible working environment - outcome over hours worked

• Payment towards health insurance

• Training & development opportunities

• Employee assistance programme

• Access to UK working locations (via the Reef app)