-
View all jobs
Role Overview
We are looking for a Data Scientist contractor to support additional reporting and analysis needs driven by the new self-service Confidence launch. With a team member on parental leave and limited remaining bandwidth, this role will provide critical capacity for routine analytics, experiment quality monitoring, and stakeholder reporting over a 6-month engagement. This is an individual contributor role focused on applied analytics and reporting — not research or model development. The ideal candidate is a reliable, self-directed analyst who can ramp quickly on our data infrastructure and deliver clean, well-communicated insights to product and engineering stakeholders.
Responsibilities
Data Warehouse: Google BigQuery
Query Language: SQL (BigQuery dialect)
Programming: Python (pandas, NumPy, SciPy, statsmodels)
Data Transformation: dbt
Visualization / BI: Tableau, Looker Studio, Streamlit
Statistics / Testing: (Python library), SciPy, statsmodels
Experimentation: Confidence platform (internal + external)
Collaboration: Google Workspace, Slack, Confluence
Version Control: GitHub Enterprise
Start: ASAP
Length: 6 months
Workplace: Sweden
We are looking for a Data Scientist contractor to support additional reporting and analysis needs driven by the new self-service Confidence launch. With a team member on parental leave and limited remaining bandwidth, this role will provide critical capacity for routine analytics, experiment quality monitoring, and stakeholder reporting over a 6-month engagement. This is an individual contributor role focused on applied analytics and reporting — not research or model development. The ideal candidate is a reliable, self-directed analyst who can ramp quickly on our data infrastructure and deliver clean, well-communicated insights to product and engineering stakeholders.
Responsibilities
- Build and maintain dashboards and reports that track Confidence platform adoption, experiment volume, and experiment quality (EwL metrics, win rates, learning rates).
- Perform routine and ad-hoc analyses on experiment health, including traffic validation, sample ratio checks, metric pipeline monitoring, and guardrail deterioration tracking.
- Support the Metrics Catalog by validating metric definitions, computing experiment-level results, and troubleshooting data quality issues in BigQuery.
- Analyze user behavior within the Confidence product (internal and external) to inform product development priorities and self-service adoption.
- Prepare summaries and data narratives for stakeholder reviews with engineering leadership, translating experiment data into actionable recommendations.
- Collaborate with data scientists, analytics engineers, product managers, and engineers across the Experimentation Platform organization.
- Contribute to documentation and knowledge sharing to reduce key-person dependencies on the team.
- 4 years of experience in a data science, analytics, or applied statistics role, ideally in a product or platform context.
- Strong proficiency in SQL (BigQuery preferred) for querying large-scale warehouse data.
- Strong proficiency in Python for data analysis, including pandas, NumPy, and visualization libraries (Matplotlib, Seaborn, or Plotly).
- Solid understanding of A/B testing and experimentation fundamentals: hypothesis testing, p-values, confidence intervals, statistical power, sample size estimation.
- Experience building and maintaining dashboards and reporting pipelines (e.g., Tableau, Looker, Streamlit, or similar BI tools).
- Ability to communicate analytical findings clearly to both technical and non-technical audiences.
- Comfort working independently with minimal supervision in a distributed team environment.
- Familiarity with sequential testing methods (group sequential tests, always-valid inference) or Bayesian experimentation approaches.
- Experience with dbt for data transformation and pipeline management.
- Exposure to variance reduction techniques (CUPED or similar) in experimentation.
- Experience with experimentation platforms (Confidence, Optimizely, LaunchDarkly, GrowthBook, or similar).
- Familiarity with experiment quality frameworks or meta-metrics (e.g., learning rate, validity checks).
- Background in platform or infrastructure analytics (as opposed to purely product or marketing analytics).
- Degree in statistics, data science, economics, computer science, mathematics, or a related quantitative field.
Data Warehouse: Google BigQuery
Query Language: SQL (BigQuery dialect)
Programming: Python (pandas, NumPy, SciPy, statsmodels)
Data Transformation: dbt
Visualization / BI: Tableau, Looker Studio, Streamlit
Statistics / Testing: (Python library), SciPy, statsmodels
Experimentation: Confidence platform (internal + external)
Collaboration: Google Workspace, Slack, Confluence
Version Control: GitHub Enterprise
Start: ASAP
Length: 6 months
Workplace: Sweden
Key Skills
Ranked by relevance
python
tableau
looker
pandas
numpy
scipy
sql
data analysis
matplotlib
streamlit
seaborn
slack
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Python Data Scientist - SDLC
2026-03-25
Full-time
Not Applicable
Ireland
IT Services
Engineering
View Job Details
Related
Data Analyst / BI Consultant
2026-03-31
Full-time
Not Applicable
Sweden
IT Services
Information Technology
View Job Details
Related
Data Scientist
2026-04-07
Full-time
Mid-Senior
Portugal
IT Services
Consulting
Login to Apply
- Posted
- Apr 09, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Sweden
- Company
- emagine
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Python Data Scientist - SDLC
2026-03-25
Full-time
Not Applicable
Ireland
IT Services
Engineering
View Job Details
Related
Data Analyst / BI Consultant
2026-03-31
Full-time
Not Applicable
Sweden
IT Services
Information Technology
View Job Details
Related
Data Scientist
2026-04-07
Full-time
Mid-Senior
Portugal
IT Services
Consulting