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Data Scientist (Social Media)

  • Location

    San Francisco

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Contact:

    Amelia Jones

  • Contact email:

    amelia@intelletec.com

  • Startdate:

    ASAP

  • Consultant:

    Amelia Jones

DATA SCIENTIST (4+ YEARS)

SOCIAL MEDIA

Intelletec has partnered with the next-generation consumer social platform. With a strong core team and top investors, they are looking for a Data Scientist who is passionate about building great products at a great company. You will be working with a team where you can have a huge impact and everyone is a stakeholder in the Company’s success.

You will be part of a small, highly focused team building the next-generation consumer social platform. You will be collaborating daily with multiple areas throughout the Company including Marketing, Product Management, Design, Engineering and leadership.

Their mission: "Focused on people you really know, we’re making social a safe, happy place again without personal data mining."

Summary:

You are a Data Scientist who is passionate about using data to drive product decisions for the iOS and Android apps.

You will have a technical and/or advanced degree in a quantitative or technical field and have experience with large data sets.

You are focused on results, data-driven decision making, a self-starter, and using analytics to drive the understanding, growth, and success of a product.

Required Skills:

  • Apply your knowledge in quantitative analysis, ML, data mining, and the presentation of data to understand how our users interact with our products.

  • Validated self-starter with strong-problem solving skills, deeply organized with unfailing attention to detail.

  • Effective and efficient communicator.

  • Extremely proactive, anticipating needs and staying out ahead of them.

  • Identify roadblocks and solve with invention, innovation, and empathy.

  • Ability to plan and organize with and through people.

Duties:

  • Interface with Product and Engineering teams to identify trends, opportunities, and next steps

  • Monitor product metrics, understanding root causes of changes in metrics

  • Lead in building models of user behaviors for analysis

  • Build dashboards and reports that will guide day to day and strategic decisions

  • Determine key datasets for analysis

  • Lead in designing and evaluating data experiments

  • Exploratory Data Analysis

  • Communicate experiment results to the rest of the team

  • Inform, influence, support our product decisions and product launches

  • Own data analytics infrastructure: Hadoop, Hive, SQL or preferred equivalent

  • Excellent interpersonal skills and the ability to build good working relationships

Minimum Qualifications:

  • BS in Computer Science, Math, Physics, Engineering, Statistics or other technical fields

  • Strong knowledge and development experience in PHP, Python, Perl, SQL, etc.

  • Strong understanding of statistics (e.g., hypothesis, clustering, regressions)

Compensations Benefits and Perks:

  • Market competitive total compensation package

  • Early employee "Founder-Level" equity compensation package

  • Individual medical, dental, and vision insurance coverage

  • Generous vacation policy

  • Paid holidays

“Freedom and Flexibility are core to our values. We want you to be happy and we’ll work together to keep you that way.”