Data Scientist

EDO is the TV outcomes company — a leading platform measuring Convergent TV advertising. Combining real-time engagement signals with world-class decision science, EDO maximizes creative and media performance for modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO’s investment-grade data align advertising investments to business results – with detailed competitive, category, historical, and predictive intelligence.

EDO is headquartered in Los Angeles and New York City. We also have an office space in San Francisco.

We recognize the benefits of hybrid working and want to create the best balance to ensure we can continue working together effectively. For this role, we have a hybrid work policy of 2 days a week in any EDO office.

The Role

Data Scientists at EDO

drive EDO's modeling and analytical methodology to measure the effect that television and streaming ads have on consumer behaviors, primarily consumers' online search and website visits.

What You Will Do

Enhance EDO's AdEngage platform that measures the effectiveness of linear and streaming TV ads, and enable it to process new types of data and serve new client needs.

Test out new methods for modeling ad effectiveness on trillion-event data sets spanning millions of households for several years.

Develop reusable tools and building blocks for connecting data sets.

Build, diagnose, and tune models, then automate the modeling and diagnostics.

Work on a small team and take ownership of high impact projects.

What We Are Looking For

3+ years professional experience doing hands-on analysis and writing clean, reusable code in Python.

Interpersonal and communication skills to work effectively on a distributed team.

Experience building and tuning XGBoost (or similar GBM) models, and with cross-validation techniques, and familiarity with a handful of other modeling tools.

Experience with git and exposure to unit testing concepts.

Understanding of biased data and adjustment methods including weighting and resampling.

Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily).

Building models of sales lift, running controlled experiments, modeling marketing effectiveness.

Familiarity with panel datasets, especially ones with missing data and attrition.

Development and test pipelines, continuous integration.

Development of feature engineering pipelines and DBT.

Implementing or auditing policy compliance in data pipelines and workflows.

EDO offers engineering teams a full suite of GenAI tools to assist in developing their work, and resources to best enable use of these tools, as desired.

EDO offers a competitive compensation package. Components of compensation include :

Mid-stage equity and competitive salary

Flexible Time Off

Medical, dental and vision coverage, deeply discounted by EDO

401(k) plan, FSA, HSA

When in an office, employee meals, snacks, and more fully paid for

The base salary range for this position is $120,000 to $150,000, PLUS equity in a mid-stage company. Compensation will be determined based on the skills, qualifications, experience, location and the level of education attained of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

EDO is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.

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