Lead Data Scientist

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We’re BCG Digital Ventures. Welcome.

We are an ever-growing global team of the world’s most remarkable entrepreneurs, designers, engineers, venture architects, product experts and investors. Our ventures create a strategic advantage for the most important global companies. Our mission is to invent, launch, scale and invest in game-changing businesses with the world’s most influential corporations.

 

Adventure awaits you…

 

Build innovative businesses from the ground up

We are shaping the next generation of startups, and we’re looking for the brightest minds in the business to help us. Our world-class, multidisciplinary team will challenge you to push the boundaries of the industry. If you have the passion, tenacity, and curiosity to build innovative businesses from the ground up, we invite you to join our mission.

Engineering at BCGDV

Our multidisciplinary engineering team tackles challenges at their core. From product and test engineers to full stack engineers and data scientists, these venture builders all share a passion for innovative and emerging digital solutions. Working in collaboration with product and design teams, they use cutting-edge and custom technologies to imagine, build and launch breakthrough digital businesses that disrupt markets and generate untold value for businesses and consumers alike.

The Lead Data Scientist is responsible for demonstrating and communicating a passion for building the data foundation, products and capabilities that drive business growth.

In your role you will...

  • Build innovative data products (e.g., real-time services, such as personalization and commerce graphing using Big Data platforms with real-time data ingestion and processing)
  • Execute descriptive analyses, ranging from identifying product opportunities to understanding user behavior
  • Cultivate strong collaborative relationships with product, engineering, senior stakeholders
  • Share your technical solutions and product ideas with the BCG Digital Ventures team through design review, pair programming, code reviews, and tech talks

You should have...

  • Techniques like: Machine Learning, NLP, Graph Theory, AI
  • One or more programming languages like Python, Java, R, or Scala
  • Leading and managing a team of data scientists
  • Delivering data science components that are part of successful commercial products
  • Collaborating with engineering teams to develop prototypes and software products that can be deployed across varied environments (e.g.: cloud, on-premises, devices, etc.)
  • Big Data and Fast Data (i.e.: real time streaming)
  • Working with clients and executives

Additional desired competencies are...

  • Advanced degree in Computer Science, Statistics, Mathematics, or equivalent practical experience
  • Minimum 7 years of relevant work experience, including expertise in recommendation systems, personalization, collaborative filtering and content based filtering
  • Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture
  • Familiarity with SQL or other querying language
  • Ability to work with dashboard and visualization software such as Tableau, D3, Mixpanel, Flurry or Google Analytics

To learn more, visit us at BCGDV.com.

 

Interested applicants may apply through the careers section of the website at https://www.bcgdv.com/. Interviews will take place after resumes have been screened for minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.

 

BCG Digital Ventures is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

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Location

We sit at the center of the El Segundo/Manhattan Beach tech community, walking distance to dozens of eateries and less than 2 miles from the beach.

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