Director of Data Science

New York City

Applications have closed

CANDY

Fandom, reimagined. Only at Candy.com

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Candy’s mission is to deepen our interaction with experiences that bring us joy. As fans. As collectors. As people creating lives, we’re passionate about living. We know that relationship because we’ve chased it since we were kids. We are unapologetic fans and momentous collectors who see limitless possibilities in the digital revolution that’s disrupting – more like exploding – the way we engage and experience our favorite sports, music, art, and cultural icons.

We know the passion of being a die-hard fan and the need for the experience beyond the bleachers. We’re building a fully immersive storefront where fans can not only buy, sell, and trade their digital assets but also experience a fully immersive marketplace that gives our users enablement beyond imagination with their digital assets.

Fandom. Reimagined.

 

OUR INVESTORS:

  • Michael Rubin- Founder & CEO of Fanatics & Philadelphia 76ers co-owner 
  • Mike Novogratz - CEO of Galaxy Digital, Pioneer Investor
  • Gary Vaynerchuk- CEO of VaynerMedia, Social Media Entrepreneur

 

SO YOU WANT TO JOIN CANDY?

 

We are looking for a tenured Director of Data Science to join our organization, heading the collection of data and driving insights for our organization. In this role, you will help direct the analytics for our technology and product-driven teams to bring insightful recommendations to our business. You will play a significant role in owning high-impact product areas, driving transparency through reporting, identifying the value of existing data, and informing product strategy through opportunity and deep-dive examination.

This role entails partnership with all parts of our organization. If you are detail and process-oriented, excited to gain broad exposure to all aspects of a business, interested in building a startup, and LOVE Data, this role is for you!

We are creating a unique NFT ecosystem that will shift the way fans interact with their favorite cultural icon, music, art, and sports. At Candy, we search for creative minds that are excited to take on difficulties in the immediate while providing a vision for the future.  

 

As our Most Valued Player, You Will…

  • Partner with our leaders to build our company strategy to enable the design of scalable, end-to-end analytics solutions, and identify and build new opportunities for cross-squad collaboration, increased code sharing across teams, and enhanced scalability of solutions across multiple partner groups. 
  • Drive strategy around implementing new data science methodologies and selection of new tools.
  • Partner with product managers to anticipate, identify and facilitate the solution to enterprise issues concerning critical business needs, and aid product road-mapping and prioritization decisions across the analytics portfolio.
  • Partner with engineering teams to influence enterprise-level data products, IT architecture, and engineering platform strategies to meet the needs of business and the data science solutions. Help shape Candy’s central data science platform by identifying foundational data science capabilities and creating scalable, reusable, and customizable analytical components.
  • Work with key business partners to understand and anticipate current and future business needs. Evangelize data science and help senior administration identify business areas where data science will make the biggest impact. Evangelize the value of analytic products through effective storytelling and collaboration with key partners.
  • Keep abreast of technology trends as well as emerging data science tools, techniques, and standard methodologies.
  • Recruit, oversee, mentor, and inspire data science team(s); overseeing performance, goals and development potential. Cultivate professional development opportunities. Help team members establish development goals, set goals with business priorities, develop for the future, and evaluate success.
  • Create and foster an environment that values and promotes diversity and inclusion, autonomy, skill mastery, empowerment, transparency, innovation, and continuous learning

You have experience with… 

  • 8+ years of hands-on engineering experience developing BI systems and working with big data
  • Bachelor's degree in Mathematics, Statistics, or related field
  • A strong problem solving and analytical approach. Excels at critical thinking
  • Able to influence and communicate effectively, both verbally and written, with team members, business partners and leadership
  • Demonstrated ability to identify and resolve both people and process related issues
  • Able to influence critical business outcomes in a matrix based, global environment
  • Expert understanding of solution and technical design
  • Excellent communication skills and experience in conveying complex information in easy-to-understand language.
  • Experience in building successful data science teams. Experience guiding multiple teams and the development of complex solutions
  • Understand the ecosystem of diverse skills that need to come together to make a large-scale data science project successful. Extensive and/or in-depth knowledge of data science, machine learning, and optimization modeling and algorithms.
  • Demonstrated comprehension of market demand and supply interactions. Familiarity with common data sets related to products, consumers, market performance and supply chain.
  • Demonstrated experience in heading technical projects at an enterprise scale and guiding a team through all stages of the Data Science/Analytics lifecycle.
  • Strong familiarity with modern software practices, technologies, and programming languages, such as Python, SQL, Git.
  • Strong familiarity with the Agile development process and proven ability to prepare a project plan, communicate the plan to the team, and break the work down to trackable tasks.
  • Proven track record of effectively influencing and collaborating with multi-functional partners to identify new opportunities, solve complex business problems and build impactful analytics solutions.
  • Deep knowledge and experience with a diversity of tools and platforms (Prefer experience w/ Python, Spark, AWS or other cloud environments). Able to quickly pick up new programming languages, technologies, and frameworks

 

You’ll Love Working here because...

 

  • Our People. You will be working with the top players who are the most enterprising, fun, encouraging, and innovative heads and teams. Aka, people you can be proud to work with!
  • Our Mission.  We believe that we are building something great and that the finest things we create will make the world a better place. Our goal is to deepen our relationship through experiences to fans and collectors globally.
  • Perks. Our team-based culture provides the foundation for people to do their greatest work and constantly learn and grow. We offer a full slate of benefits, including competitive salaries, stock options, health coverage, and unlimited vacation. Given that we’re an early-stage startup, our benefits package continues to evolve as we do. Your ideas and suggestions matter to us! 

 

Our  Core Values

 

  • Trust.  We safeguard the goal. We believe we will only succeed if we earn trust – trust of our people, trust of our customers, trust of our partners. We will aim to achieve and keep faith at all times.
  • Innovation. We dream big. We’re endlessly curious and constantly searching for the best, the better, and the never-before imagined.
  • Excellence.  We take big swings. We have high expectations of ourselves in everything we do.
  • Grit.  We drive past the finish line until the last second. Giving up is not an option. We will always find a way. 
  • Inclusion.  We are a team player, and we are in it together. We believe that diverse thinking comes from different thinkers, and we need all perspectives to come together and win.
  • Authenticity.  We are the real deal and always authentic in what we create, our dealings with others, and in who we are as human beings. 
  • Accountability.  We carry the ball. We hold ourselves to the highest moral and ethical standards. We will be fair and honest and take responsibility for our actions.

Total Compensation Range (Base + Equity): 150k-250k per year

Our compensation package currently breaks down into a base salary and an equity component for all employees. The candidate’s seniority and the evaluations made of that candidate during the interview process determine compensation.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Big Data Engineering Git Machine Learning Mathematics Python Spark SQL Statistics

Perks/benefits: Career development Competitive pay Equity Health care Startup environment Transparency Unlimited paid time off

Region: North America
Country: United States
Job stats:  11  0  0
Category: Leadership Jobs

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