Director/Sr Director of Data Science and Analytics

Director/Sr Director of Data Science and Analytics

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solutions for our customers, and we do all of that with the willing participation of our consumers and without using outdated technologies like third-party cookies.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.

The Role: DISQO is looking for a Director of Data Science and Analytics to join our technology leadership team. This person will be responsible for and will have broad responsibility over data science and data analytics vision, strategy, execution and team development as they relate to all of DISQO’s products. This is a highly impactful role for the success of DISQO as we become a multi-product company, expand internationally and continue to disrupt the $80B insights industry.

The ideal Candidate: DISQO’s product and engineering team has been doubling every year and accounts for ~50% of the company’s headcount today and we continue to invest heavily in scaling our technology and our engineering teams that drive DISQO’s growth. We are looking for a data science leader to help scale our Data Science and Analytics teams to be able to support our growth and build a foundation for DISQO’s future products. As an exceptional data science and analytics leader, you are growth-oriented and have a proven track record of building highly effective geo-distributed teams that make the impossible possible. You will need to be a strategic thinker, frame & find solutions to complex data and people challenges, measure & drive results, and be able to move fast and maintain focus on the highest impact initiatives while keeping track of trade-offs made along the way. The right candidate will be data-driven - you can own your metrics - and have a superior handle on technology, to complement a proven data-driven track record of supporting accelerated global growth at tech companies, across culture, talent development, total rewards, and employee relations.

What you will do:

    • Scale our data science, ML engineering and data analytics teams and build a world-class culture that data nerds relish being a part of. Grow our Data Science and Analytics teams by coaching and mentoring our current leaders and inspiring them with a compelling vision & strategy and by recruiting additional top talent.
    • Use a "Product Management" mindset to engage with internal and external stakeholders to align on engineering vision, strategy and priorities to drive measurable results. You should be able to present and drive alignment around the vision and strategy to create a clear long range roadmap.
    • Define and own the Data Science and Analytics OKRs & roadmap and conduct quarterly roadmap reviews.
    • Drive multiple high profile program work streams supporting our data science, ML engineering and data analytics teams.
    • Provide quantitative research, analysis and support to identify business opportunities/issues and form hypotheses.
    • Guide your team how to use advanced statistical tools and methodologies to address high impact business opportunities
    • Work closely with our CTO and our product & engineering leadership to set standards around patterns, frameworks, technologies, and processes to promote a simple and consistent approach across multiple types of services.
    • Be the champion of our Data Driven culture and build a strong cross-collaboration between Data, Product and Engineering teams.
    • Drive transparency and decision making through our technology leadership team with blameless postmortems and iterative improvement programs that focus on product scale and quality.
    • Synthesize findings, prepare presentations and assist in presenting findings to all levels of management.
    • Role model Servant Leadership, making leadership excellence a continuous priority for your own personal development and that of your teams.
    • Embrace, model and champion all of DISQO’s values - adding to the growth of our culture 
    • Strong work ethic with the ability to understand and exhibit Agile principles and methodology

What you bring to the table:

    • 10+ years of quantitative experience, ideally in a data science function of an Internet company. Advertising/Measurement experience highly desirable.
    • 5+ years of progressive leadership experience, leading teams of 12+, including managers, and a strong ability to inspire and lead others
    • Track record in building great relationships with partners and presenting actionable analyses that led to meaningful business impact.
    • Expert in coding in R, Python or PySpark and using Machine Learning or regressions to explain and predict business outcomes.
    • Thorough knowledge in statistics and experience with ideating, designing and analyzing experiments and A/B tests.
    • Strong visualization skills and experience with BI tools.
    • Deep understanding and commitment to software engineering principles/processes (e.g., Lean, Agile, DevOps, CI/CD, TDD, XP) and continuous improvement through measurement.
    • Hands-on experience with common software development flows and tools and working jointly with engineering to implement data science algorithms and principles at scale as well as deploying models into production.
    • Expertise with AWS modern data processing and ML products (SparkEMR/SparkML, SageMaker, Databricks, etc.).Ability to operate effectively in both tactical and strategic capacities - You can comfortably adjust your altitude and roll-up your sleeves as needed
    • Experience with rapid scaling of data teams by hiring and retaining exceptional talent
    • Commitment to product excellence and experience promoting the right balance between perfect science and feature delivery
    • Demonstrated experience of promoting culture and diversity throughout a large data organization to achieve transformational change
    • Excellent communication skills for both horizontal and vertical organizational lines
    • Master’s or PhD in a technical field (e.g., Computer Science, Mathematics, Physics, Statistics, Economics, BioStats, etc)
    • Servant Leader and Agile DNA

Perks & Benefits:

·100% covered Medical/Dental/Vision for employee, 80% for dependents
·Unlimited Vacation
·Flexible work hours
·Catered lunches 3x a week
·Stocked pantry
·Happy Hours
·Onsite Fitness Program
·Discounted Gym Membership
·Quarterly Offsites
·Life Insurance
·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.
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