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Data Scientist

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Frequence

2021-12-03 08:58:02

Job location Mountain View, California, United States

Job type: fulltime

Job industry: I.T. & Communications

Job description

About Frequence

We're the ones with big ideas, bold vision, and Silicon Valley-casual vibes who are passionate about solving real problems for our clients.

Frequence's powerful software makes it easy for media companies to stay competitive in the digital advertising space. We empower experts in sales and ad design with a set of tools that allows them to efficiently deliver what would otherwise be complex advertising strategies.

Unlike other workflow software, Frequence is the most complete system on the market, connecting all aspects of digital advertising-sales, operations, and reporting-from beginning to end. We create smart, focused campaigns based on performance data from thousands of local and national media campaigns to level the playing field and make programmatic ad buying possible for smaller local businesses. The data is out there, and we want to help advertisers put it to work.

About this role:

The Data Scientist will collaborate with other Data Scientists, BI developers, data engineering, and product development teams as well as senior management and other stakeholders on the development of core technologies. The position requires a results-driven individual who can thrive as an independent researcher and as a key player within a team.

What you'll be doing:

  • Apply statistical and advanced techniques (e.g. logistic regression, random forest, neural networks) to develop both prototypes and scalable (i.e. efficient, automated) data analysis tools/procedures
  • Identifying patterns in large datasets and using that information to accomplish business objectives
  • Conduct basic ad-hoc analysis, building models, forecasting, etc
  • Apply marketing experimentation learnings to day-to-day campaign measurement and reporting; forecast impact and provide ongoing recommendations for optimization and efficiency
  • Define requirements, prototype, debug, optimize and productize our next generation algorithms

Required Qualifications & Skills:

  • PhD in Statistics, Mathematics, or related field
  • Strong working knowledge of classification algorithms, data analysis, and data structures
  • Have strong, 2+ years practical programming and scripting skills (Python, R, Matlab, C, and/or C++)
  • Experience processing large data sets using Spark, Hive or other Big Data technologies
  • Experience and understanding of relational databases (Oracle, MySQL, etc)
  • Have deep statistical knowledge, utilizing in A/B testing, analyzing observational data, and modeling

Preferred Qualifications & Skills:

  • Experience with AWS technologies like Redshift, S3, EC2, Athena, Data Pipeline, & EMR
  • RTB or Media Analytics domain experience

Why Frequence?

Frequence has a passion for our people and our mission to help clients grow their business. As our company grows, so does our need to add sharp, ambitious, and talented people to our team. We're approachable, inclusive, and encourage open dialogue within our community. This is a place where your voice matters.

Want proof that we love our people? Frequence was recognized by Bay Area News Group as a Top Workplaces Company for 2020 & 2021!


Ways we show our love (some call them benefits):

  • Competitive salary and bonuses
  • Stock options at a mid-stage startup, 401K
  • Health, dental and vision insurance coverage
  • Generous PTO


Frequence, Inc. is an Equal Opportunity Employer. At Frequence, Inc. we are deliberately trying to create a safe space for people of all races, genders, ages, backgrounds, and orientations. It is the policy of Frequence, Inc. to provide equal employment opportunity to all persons, regardless of age, race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, age, sexual orientation, membership or non-membership in an employee organization, or on the basis of personal favoritism or other non-merit factors, except where otherwise provided by law.


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