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Junior Data ScientistStreetMetrics • Los Angeles, California, United States
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Junior Data Scientist

StreetMetrics
  • US
    Los Angeles, California, United States
  • US
    Los Angeles, California, United States
Jetzt Bewerben

Über

StreetMetrics is hiring a Junior Data Scientist to scale their analytical engine by automating recurring workflows and developing new measurement methodologies using SQL and Python. This hands‑on role involves working directly with company leadership to bridge physical and digital advertising insights.
Job Responsibilities Job Overview
Automating bespoke analyses into repeatable, parameterized workflows.
Writing and maintaining SQL queries in Snowflake to surface key audience and inventory insights.
Performing rigorous QA on data products and model outputs to ensure accuracy.
Providing first‑line analytical support for internal teams and clients.
Developing measurement methodologies for transit and rail inventory.
Core Responsibilities
Write and maintain SQL queries against our Snowflake warehouse to surface audience, market, format, and inventory insights (percentages, indices, lift), following established methodology and conventions.
Contribute to the development and validation of measurement methodologies for transit, rail, and other OOH inventory.
Build lightweight statistical and ML models, and apply sound statistical approaches (indexing, normalization, period comparisons, basic causal/lift logic) to real OOH data.
Automate recurring analyses — turn one‑off SQL and notebook work into parameterized, repeatable pipelines or agentic tool calls and workflows
Test and QA data products, pipelines, and model outputs; identify discrepancies and validate results before they reach clients.
Provide first‑line support for internal and client‑facing data and analytics questions.
Produce clean, well‑documented, reproducible code (documented methodology, concise context for coding agents) that others can pick up and extend.
Communicate findings clearly — contextualize and frame insights rather than dumping raw data.
Required Technical Experience
BS in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
Solid foundation in statistics and machine learning — you understand the methods, not just the libraries and have trained and evaluated lightweight models.
Proficiency in Python and its core data libraries (e.g., pandas, NumPy, scikit‑learn).
Moderate to strong SQL skills and comfort working with large, relational datasets.
Proficiency in coding agents/IDE’s
Attention to detail; you check your work and question results that look off.
Clear written and verbal communication; able to explain analyses to technical and non‑technical audiences.
Self‑directed and curious, comfortable in a fast‑moving, small‑team environment.
What Success Looks Like
You reliably produce clean, well‑documented analyses in SQL and Python that the team and clients trust.
Recurring manual analyses become automated, reproducible workflows that no longer require a senior person to run.
Our data products and models ship with fewer defects because you catch issues through disciplined testing and QA.
Data and analytics questions get answered quickly and accurately increasing without the input of senior data engineers
Technical development — taking on more modeling, more ownership, and more independent analysis over the engagement
Nice to Have
Experience with Snowflake (or another cloud data warehouse).
Experience with LLM APIs and integrations.
Experience building MCPs and external facing LLM applications
Geospatial data analysis experience (H3, GIS, spatial joins, lat/lon work).
Exposure to the out‑of‑home, ad‑tech, or marketing‑measurement domain.
Familiarity with attribution, lift, or causal‑inference concepts.
Dashboard or data‑visualization experience.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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  • Los Angeles, California, United States

Sprachkenntnisse

  • English
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