Position Description
One of our core principles is a dedication to data-driven decision-making. To do that well, we need product scientists with a strong product sensibility to work alongside our product managers and technical leads to support our clients products.
Our Product Science team is a part of the Data Science group. While machine learning is one tool in our toolbox, Product Scientists use a variety of skills with the goal of driving business impact using whatever tools necessary.
- Use quantitative analysis, data mining, and machine learning techniques to understand how hundreds of millions of jobseekers and employers are interacting, and how those interactions are reflected in our data.
- Work alongside product managers and engineering teams to help guide tactical and strategic product decisions.
- Design and use statistically sound methodologies for evaluating hundreds of tests on thousands of web pages across dozens of business-relevant metrics.
- Work alongside other data scientists and software engineers to expand our client's catalog of tools, techniques, and best practices for manipulating and interpreting terabytes of product data.
- Share your work to a diverse audience across a variety of media. Help us promote and practice transparency by highlighting failures that we learn from as much as successes.
- Work across a wide range of related areas- data extraction and cleansing, feature engineering, machine learning, exploratory analysis, data quality analysis, experimental analysis.
Who you are
Requirements
- MS in Computer Science, Statistics, Mathematics or a closely related quantitative field
- 2+ years of professional industry experience in Data Science, Business Analytics, or Data Analysis
- Experience coding in Python, R or another advanced data programming language
- Strong communication and collaboration skills
- Ability to write and present results to both technical and non-technical audiences
- Driven to help their teammates and our client's products
- Experience designing and conducting complex projects
We get excited about candidates who has:
- Experience with digital advertising such as ads serving, rendering, ranking or targeting
- Master's or PhD., with advanced coursework in statistics, machine learning, programming, or related skills
- Relevant experience (including internships and/or research) in Business Analytics, Data Analysis, Product Management, Data Science, or related fields
- In-depth knowledge and experience within consumer behavior, the consumer marketplace, and/or eCommerce fields
- Experience building and/or pulling data using SQL
- Production experience with machine learning and other advanced statistical methods
- Deep understanding of designing and implementing A/B tests, and advanced extensions
General Comments
About Advantage Resourcing
Advantage Resourcing is committed to providing equal employment opportunity for all persons regardless of race, color, religion (including religious dress and grooming practices), sex, sexual orientation, gender, gender identity, gender expression, age, marital status, national origin, ancestry, citizenship status, pregnancy, medical condition, genetic information, mental and physical disability, political affiliation, union membership, status as a parent, military or veteran status or other non-merit based factors. We will provide reasonable accommodations throughout the application, interviewing and employment process. If you require a reasonable accommodation, contact us. Advantage Resourcing is an E-Verify employer. This policy is applicable to all phases of the employment relationship, including hiring, transfers, promotions, training, terminations, working conditions, compensation, benefits, and other terms and conditions of employment.
All employees are directed to familiarize themselves with this policy and to act in accordance with it. All decisions with respect to employment matters and other phases of employer-temporary employee relationships will be in keeping with this policy and in accordance with all applicable laws and regulations.