TL;DR

Senior Data Scientist (AI/ML): Developing and applying advanced techniques to turn petabytes of data into insights and drive actions based on those insights, with an accent on computer science, machine learning, econometrics, and statistics. Focus on designing metrics, analyzing experiments, prototyping algorithms for demand generation, and building measurement frameworks to quantify impact.

Location: Onsite in Redmond, United States, with compensation variations for the San Francisco Bay Area and New York City metropolitan area.

Salary: USD $158,400 – $258,000 per year (for San Francisco Bay area and New York City metropolitan area), and USD $119,800 – $234,700 per year (across the U.S.).

Company

%hirify_global% Advertising (MSA) is a worldwide organization on the cutting edge of the digital advertising industry, powering digital advertising across its portfolio including Bing, MSN, %hirify_global% News, Xbox, and Outlook.

What you will do

Collaborate with key business stakeholders to understand underlying business needs and formulate them into discrete, manageable problems.
Transform formulated problems into implementation plans for experiments by defining success metrics and applying appropriate methods.
Acquire the necessary data and develop usable data sets for modeling.
Develop new predictive and prescriptive models using advanced statistical and machine learning techniques.
Evaluate existing models, recommend improvements, drive best practices, and develop scalable operational models.
Influence stakeholders to make product/service improvements by effectively making compelling cases through storytelling and visualizations.
Research and maintain a deep knowledge of industry trends and innovative data science methods.

Requirements

Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Bachelor’s Degree with 5+ years experience.
Experience in all phases of managing data science projects including problem definition, solution formulation, model building, and productionizing.
Experience in statistical analysis, machine learning, and data mining.
Proficiency in at least one programming language like Python, R, or SQL.
Must be based in the United States.

Culture & Benefits

Opportunity to work with a world-class, interdisciplinary group of data scientists, analysts, sales, and product managers.
Apply data science skills to have a real impact on %hirify_global%’s business, advertising partners, and millions of end users.
Culture of inclusion built on values of respect, integrity, and accountability.
%hirify_global%’s mission to empower every person and organization to achieve more.
Access to additional benefits and pay information provided on the %hirify_global% careers website.