Senior Data Scientist - (Remote - US)
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solutions for our customers, and we do all of that with the willing participation of our consumers and without using outdated technologies like third-party cookies.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.
We are looking for a Sr. Data Scientist to join our Data Science and Analytics team to innovate and build data products. Some of the problems you will be heavily involved in are in the areas of survey matching optimization algorithms, identity fraud prevention, ad lift measurement, multi-touch attribution, propensity modeling and user segmentation.
We are more than a traditional Data Science team. We are a high-performance team looking for others to challenge us to become even better. We are equal partners collaborating with product and engineering, finance and marketing teams to define and shape DISQO products and infuse them with Data Science capabilities at the consumer and enterprise side. We are looking for people with a growth mindset, data curiosity, who are comfortable with ambiguity and uncertainty and have the eagerness to be agile, creative to redefine the market research space.
What you will do:
- You will be part of DISQO’s fast growing Data Science and Analytics team focusing on building data science models, products and solutions in the areas of fraud detection, recommendation engine, ad measurement, causal inference, reinforcement learning to understand consumer needs and derive insights based on behavior and attitudinal data.
- You will build data science models and products from requirements gathering, and exploratory data analysis to model development, test and evaluation to production deployment and maintenance
- You will derive insights and create new data science capabilities to help improve and advance DISQO’s consumer and enterprise facing products.
- You will work using the latest technologies, having access to a large volume of customer data in a data centric company.
- Incorporate results, learnings from A/B tests and feedback from existing models to improve the efficiency and performance of future models.
- Present your work and results and influence a wide range of audience – including management and marketing leaders, other Data Scientists and product managers.
- Guide and mentor junior data scientists.
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, with a +3 years work experience
- Strong communicator - able to advocate data informed decision-making at all levels
- Strong analytical capabilities to translate business problems into Data Science problem formulations
- Experience with statistical and propensity modeling and time series prediction
- Experience with big data technologies such as Spark, AWS Athena, Hadoop, Redshift
- Familiar with A/B testing and evaluation methodologies.
- Expertise in SQL and programming in Python or R
Nice to have
- Experience in the Ad Measurement and/or Market Research space
- Understanding of (and ideally practical experience with) concepts such as causal inference, reinforcement learning and multi-touch attribution
- Optimization / Operational research experience
#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.