DISQO is a next-generation consumer insights platform. We provide the highest quality consumer data to the world's largest market research agencies, analytics companies, and brands. We operate one of the world's largest true consumer insights panels. This data helps our clients understand user behavior, build better experiences, and make better decisions. We utilize cutting-edge technology and innovative, out-of-the-box strategies to collect and analyze insights which help shape the products and services of tomorrow.

This is a great opportunity to join a fun, exciting & highly motivated team and upgrade your skills while creating real impact. We use a modern tech stack and cloud infrastructure. We are not only looking for work experience, but rather the willingness to step up to challenges and the ability to learn quickly.

We believe the best software is written and managed by small teams that know how to make the impossible possible. We use agile software development techniques and modern tools to focus our efforts on solving our business goals. We use OKR’s to track everything we do. We deliver early and often. We obsess over our code, architecture, and infrastructure. And we believe that these practices lead to higher quality products.

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

Our mission at DISQO is to engage people to share their opinions & behaviors openly to help our customers make the right decisions. With over one million members sharing their attitudes and behaviors, DISQO is looking for a data scientist to work on the challenging business problems, discover data opportunities and shape them into data products.

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 market research space. Do you love problem solving and thinking beyond an obvious solution? Do you thrive in data exploration and A/B testing? We are looking for a 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 product

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.
• The goal of the DISQO Data Science team is to help scale our rapidly expanding platform with predictive analytics, data science products in place. We conduct analysis, employ analytical tools and build innovative predictive models to solve for quality data and enable our clients with data products

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
• 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, 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. Knowledge of statistics.
• 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

·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