Prospective candidates are required to have a proficient command of specific skills that are deemed essential for the position. These skills encompass a range of competencies and expertise that are crucial for successfully fulfilling the responsibilities associated with the role. The expectation is that applicants not only possess a basic understanding of these skills but also demonstrate a practical ability to apply them effectively in real-world scenarios.

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  • Execute expressive breaks down, running from recognizing item chances to comprehension client conduct.
  • Develop solid joint efforts with the item, building, senior partners.
  • Share your specialized arrangements and item thoughts with the BCG DV group through outline audit, pair programming, code surveys, and technical discussions.
  • Equalization vieing for needs while sticking to due dates and adjusting assets to esteem requests.
  • 4+ years of involvement in the scientific field.
  • Involvement in factual demonstrating and/or machine learning.
  • Involvement with a programming dialect like Python, Java, R, and C++. Capacity to make an interpretation of information experiences into item choices.
  • Ability to instruct others.
  • Conceptualize, characterize, and regulate customary upgrades around key item measurements as the organization's difficulties and information advance
  • Work process adaptability and solid cooperation abilities.
  • MS in Computer Science, Statistics, Applied Mathematics, or related regions.
  • Ph.D. in Computer Science, Statistics, Applied Mathematics, or related regions.
  • 2 years of applicable work experience, incorporating ability in recommender frameworks, personalization, cooperative sifting and substance based separating.
  • Involvement with appropriated frameworks, for example, Hadoop/MapReduce, Spark, gushing information preparing, cloud engineering.
  • Involvement with Python, Unix, or measurable programming bundles (R, SAS) for information control.
  • Commonality with SQL or other questioning dialect.
  • Capacity to work with dashboard and representation programming, for example, Tableau, D3, Mixpanel, Flurry or Google Analytics.
  • Certainty with diagnostic apparatuses, for example, Excel, R, Python, Stataor Matlab.