Senior Data Scientist - (Remote - US)

Company:
Location: Remote

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DISQO is changing the way that the world’s largest brands, agencies and consumer intelligence companies get to know their consumers. We’ve built the first identity-based platform that combines consumer attitudes and behaviors together to power the most accurate and predictive insights solutions for our customers, and we do all of that with the willing participation of our consumers and without using outdated technologies like third-party cookies. We help our customers get a cross-platform view into consumer sentiment, measure advertising effectiveness, analyze consumer purchase journeys, and ultimately grow their brands.

Our mission at DISQO is to engage people to share their opinions and behaviors openly to help our customers make the right decisions. With over one million active members sharing their attitudes and behaviors, DISQO is looking to expand, improve and create world-class applications for people to openly share their data for research.

Check out the DISQO Developer Blog for the latest from our DISQOTECH team.

DISQO’s first-party, transparent, and privacy focused panel, SurveyJunkie, uniquely positions the company to excel in a data privacy focused world and empowers us with an unrivaled data set to tackle the upcoming challenges faced by every brand in the world. This position is highly visible. You will present solutions to the executive team, influence our product roadmap, and shape the future of the market research space.

We are looking for a Sr. Data Scientist to join our Data Science and Analytics team to innovate and build data products. You will be heavily involved in survey matching optimization algorithms, user anomaly detection, identity fraud prevention, recommendation engine. The only obstacle we have is time, DISQO is a gold mine for a data scientist. Data Scientists at DISQO lead our efforts in developing scalable solutions to offer quality data to consumers and building innovative products.

What you will do:

    • You will join a team of data scientists and data analysts to work on data quality, fraud detection, recommendation engine, ad measurement, causal inference, reinforcement learning to understand consumer needs based on our users behavior and attitudinal responses.
    • You will work using the latest technology, having access to a large volume of data in a data centric company. As a data scientist you will collaborate with product, finance, and marketing teams, partner closely with and support product managers to surface data trends, identify impactful problems, and develop solutions, discover data anomalies, communicate clearly your findings to other departments, educate stakeholders on data and its predictive power.
    • Sr. Data Scientist will establish scalable, efficient, automated processes for large scale data analyses, model development and model implementation, manage and execute projects from start to finish including data gathering and manipulation, project management, modeling, problem solving, communication of insights and recommendations.
    • Disambiguate problems and develop new metrics to track and identify success

What you bring to the table:

    • PhD or Master in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics
    • Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods, +4 years of work experience
    • Strong communicator - able to advocate data informed decision-making at all levels
    • Strong analytical capabilities to translate business problems into data science problems and implemented solutions
    • Experience with big data technologies such as Spark, AWS Athena, Hadoop, Redshift
    • Mentored junior data scientists, led projects to the finishing line
    • Expertise in SQL and programming in Python or R
    • Strong mathematical background or computer science.
    • Advanced ability to perform exploratory data analysis
    • Expert in Statistical Studies
    • Data visualization with Python, R. Exposure to BI Solutions like Looker, Tableau, PowerBI
#dice

Perks & Benefits:

  • 100% covered Medical/Dental/Vision for employee, 80% for dependents
  • Equity
  • Unlimited Vacation
  • Flexible work hours
  • Catered lunches 3x a week
  • Stocked pantry
  • Happy Hours
  • Onsite Fitness Program
  • Discounted Gym Membership
  • Quarterly Offsites
  • 401K
  • Life Insurance
  • FSA
  • Paid Maternity/Paternity leave
  • Disability Insurance
  • Travel Assistance Program
  • 24/7 Counseling Services offered to employees

DISQO is an equal opportunity employer. Discovery, innovation, and growth are possible when we open ourselves to new possibilities, perspectives, and approaches. That’s why, at DISQO, we welcome, support, and empower individuals from diverse backgrounds. Exceptional teams are rooted in extraordinary people, each with a unique story and a compelling set of skills. DISQO does not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

  • Recruiting firms that submit resumes to DISQO without first entering into a written contract will not be entitled to any compensation on candidates referred by that firm.

*** Mention DataYoshi when applying ***

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