Senior/Lead Data Analyst at Modal

New York, New York, United States

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$150,000 – $300,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, SoftwareIndustries

Requirements

5+ years in data analytics or data science with a focus on media or ML data quality in production systems
Fluency in SQL and Python (Pandas/NumPy)
Strong measurement chops: defined and computed label & model quality metrics (precision/recall/F1, mAP, AUROC, calibration, temporal IoU)
Data validation & ETL experience: Great Expectations/TFDV (or equivalent), dbt, and an orchestrator (Airflow/Prefect)
Warehouse & BI: BigQuery (or similar) plus Looker/Mode/Tableau (or similar)
Experimentation: A/B testing design and analysis
Product sense & communication: turn ambiguous problems into measurable roadmaps and communicate findings clearly
A love for gaming

Responsibilities

Own the video data quality program: define quality KPIs and build dashboards
Audit datasets at scale using SQL and Python
Design ground-truth pipelines: human-in-the-loop reviews and labeling guidelines
Diagnose model-data issues: collaborate with ML to localize failure modes
Detect bias and drift across games, platforms, and cohorts
Instrument product and ingestion to capture the metadata ML needs
Run experiments: design and analyze A/Bs and holdouts
Champion best practices in data contracts, validation, reproducibility, and documentation
Mentor analysts and influence data quality culture

Skills

Key technologies and capabilities for this role

SQLPythonData QualityData AnalysisData ModelingMachine LearningData VisualizationData PipelinesStatistical Analysis

Questions & Answers

Common questions about this position

What is the salary range for the Senior/Lead Data Analyst position?

The salary range is $150K - $300K.

Is this role remote or onsite?

This is an onsite role requiring work at the NYC office 5 days a week.

What skills are required for this position?

Candidates need 5+ years in data analytics or data science focusing on media or ML data quality, fluency in SQL and Python (Pandas/NumPy), strong measurement skills with metrics like precision/recall/F1, and experience in data validation & ETL tools like Great Expectations/TFDV, dbt, and orchestrators.

What is the company culture like at Medal?

Medal has a fast-moving, builder-first culture where the team moves quickly, makes decisions with creators in mind, and challenges conventions to improve the product.

What makes a strong candidate for this role?

A strong candidate has 5+ years focusing on media or ML data quality in production, excels in SQL/Python for auditing datasets, has strong measurement expertise with quality metrics, and experience building data validation pipelines.

Modal

Employee training and skill development platform

About Modal

Modal Learning focuses on improving employee performance through skill development for businesses. Their main product, the Modal Mastery Platform, uses active learning techniques, including live cohort sessions, labs, and one-on-one coaching, to help employees engage with the material effectively. Unlike competitors, Modal Learning offers a subscription model that provides structured eight-week training programs, aligning skill development with organizational goals. The company's goal is to empower employees and help organizations retain talent by providing clear career development paths.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$30.8MTotal Funding

EARLY_VCCompany Stage

Consulting, EducationIndustries

51-200Employees

Risks

Competition from established players and emerging startups could dilute Modal's market share.

Focus on data and AI may limit appeal to companies seeking broader skill development.

Economic downturns could reduce corporate spending on employee training, impacting revenue.

Differentiation

Modal offers personalized technical skills training with on-demand coaching.

The platform uses cohort-based learning to enhance engagement and retention.

Modal's strategic skills planning aligns training with business goals.

Upsides

Increased demand for personalized learning experiences boosts Modal's market potential.

Growing emphasis on data and AI skills aligns with Modal's course offerings.

Subscription model provides steady revenue and predictable growth for Modal.

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