605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.

The data scientist role is a mid-level position in 605’s Data Science group, a technical and methodology-focused team within 605’s Product division. All analysts and data scientists at 605 share a knowledge of statistics and machine learning, R and/or python, and familiarity with relational databases and the scale/variety of 605’s data assets.

The Data Science team currently focuses on the following initiatives within 605:

• Methodology that characterizes and accounts for sample bias in order to accurately estimate population-level TV viewing metrics
• Machine-learning solutions for cleansing and extracting useful information from 605's diverse viewing datasets
• Attribution methods for measuring the causal effects of TV and digital advertising on various types of outcomes (TV tune-in, store visits/purchases, and other types of conversions)

A data scientist at 605 is generally involved in one or two projects at any given time and will work alongside other data scientists or analysts. Projects contribute to both client-facing syndicated products as well as managed-service deliverables. Data Science also maintains internal tools and datasets consumed by various other teams at 605 (including Analytics and Engineering).

Basic Requirements:

• Substantial graduate level coursework in statistics or > 2 years experience in a data-related work environment
• Intermediate-to-advanced level proficiency in either R or Python
• Knowledge of modeling algorithms for supervised learning
• Beginner-to-intermediate level proficiency of postgres SQL

Preferred Skills:

• Work experience in media, e-commerce, advertising, marketing, or TV
• Doctoral degree or > 4 years experience working with data
• Experience with Databricks
• Familiarity with git and/or github.com, or any other version control framework
• Proficiency with Apache Spark (via Scala, Python, or R)
• Past work with e-commerce, behavioral, demographic, or consumer data, and/or TV viewing data
• Advanced knowledge of postgres SQL

• Comprehensive health and dental insurance for employees and their families
• Life insurance
• 401k with match, eligible for match after one year
• Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses
• 15 paid vacation days
• Sick days—if you’re sick, you stay home
• Work-from-home Fridays
• A kitchen stocked with sodas, snacks, yogurt and other goodies
• A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office
• 605 is an active participant in conferences