Data Scientist

Confirmed live in the last 24 hours

51-200 employees

Data-driven TV advertising and audience engagement platform

Company Overview

Simulmedia stands out as a leading tech partner in the TV advertising industry, offering a comprehensive solution for planning and buying linear, streaming, and gaming ads, powered by data science. Their patented predictive lookalike model, built on years of viewership data, provides a unique competitive advantage, enabling smarter media buying for clients like Mass Mutual and Electrolux. The company's commitment to transparency and flexibility, as evidenced by their Advertiser's Bill of Rights for Transparency in TV, further enhances their industry leadership and fosters a culture of trust and openness.

Data & Analytics

Company Stage

Series E

Total Funding

$86.3M

Founded

2008

Headquarters

New York, New York

Growth & Insights

Headcount

6 month growth

↓ -17%

1 year growth

↓ -23%

2 year growth

↓ -18%

Locations

Lviv, Ukraine

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Analysis

Data Science

SQL

Python

CategoriesNew

AI & Machine Learning

Data & Analytics

Requirements

BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical fields
Good understanding of statistical learning techniques - model selection, feature engineering, parameter tuning, cross validation, etc
Good understanding of probability and linear algebra principles
Working knowledge of the Python data science stack
Basic working knowledge of SQL and eagerness to reach proficiency
2+ years of experience doing quantitative data analysis to solve real-world problems
Agility and eagerness to learn - excited about learning new domains/approaches
Ability to communicate findings and blockers clearly

Responsibilities

Construct inferential models for cross-channel viewership measurement that inform the prediction and optimization layers (i.e., media planning)
Design, build and fine-tune machine learning models for prediction (e.g., of impression capacity, of future media consumption, etc.)
Perform exploratory data analysis leveraging all data sources related to our cross-channel offering (demand side and supply side)
Work with the Engineering team in the expansion and continual enhancement of our cross-channel TV data platform
Keep apace with the latest on digital advertising research and practices

Desired Qualifications

Advanced Degrees
Experience with identity graph data models
Experience with programmatic advertising
Full proficiency with SQL

Simulmedia is looking for an experienced and dynamic Data Scientist with a curious and creative mindset to join our data analytics team. As a Data Scientist, you will work closely with other Scientists, Product Managers and Engineers to deliver best in class scientific models and algorithms deployed at scale. You will be part of a team building Simulmedia’s cross-channel TV product, and enabling the company to continue its growth in an exciting and dynamic market. You will spend lots of time doing exploratory data analysis, as well as collaborating with teammates to deliver top-notch forecasting models and optimization algorithms.

This position is located in Lviv, Ukraine. You must be able to attend and collaborate in onsite, in-person meetings on a regular daily basis.

Responsibilities:

●Construct inferential models for cross-channel viewership measurement that inform the prediction and optimization layers (i.e., media planning)

●Design, build and fine-tune machine learning models for prediction (e.g., of impression capacity, of future media consumption, etc.)

●Perform exploratory data analysis leveraging all data sources related to our cross-channel offering (demand side and supply side)

●Work with the Engineering team in the expansion and continual enhancement of our cross-channel TV data platform

●Keep apace with the latest on digital advertising research and practices

Qualifications:

●BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical fields

●Good understanding of statistical learning techniques - model selection, feature engineering, parameter tuning, cross validation, etc.

●Good understanding of probability and linear algebra principles

●Working knowledge of the Python data science stack

●Basic working knowledge of SQL and eagerness to reach proficiency

●2+ years of experience doing quantitative data analysis to solve real-world problems

●Agility and eagerness to learn - excited about learning new domains/approaches

●Ability to communicate findings and blockers clearly

Bonus points for:

●Advanced Degrees

●Experience with identity graph data models

●Experience with programmatic advertising

●Full proficiency with SQL

We are excited to be building out the various perks and benefits for our Ukraine team. More will be discussed during the interview phase!