We are seeking a strong candidate with significant exposure and experience in advanced analytics who is not only a great implementer but also has the mathematical depth of the analytical techniques and algorithms to fill an exciting Project Leader (PL) role within BCN Labs. The PL is expected to be an expert in data science techniques along with proven academic spikes of playing around with statistical learning models. A PL will typically lead a small team of Associates and/or Analysts to deliver a client use-case end-to-end with some oversight or work on projects on their own delivering insights to the client along with a Manager
Requirements:
A Masters/PhD or any other advanced degrees in a field linked to analytics such as Statistics, Computer Science, Applied Mathematics, Economics, Operations Research, Engineering, etc; If you are a Bachelors in any of the fields mentioned above, then we would seek a stellar academic record with proof of ability in not just implementing analytics but also working through the underlying techniques and algorithms; Excellent skills in Python, SQL, predictive and/or prescriptive analytics, LLMs (preference for GPTs, with exposure to prompt engineering and RAG); (Good-to-have, but not necessary) Exposure to either AWS or Azure with some experience of deploying Python based solutions on these cloud platforms, Airflow, Snowflake, PySpark, Git, Docker, etc
Text:
Project Leader - Data Science We are seeking a strong candidate with significant exposure and experience in advanced analytics who is not only a great implementer but also has the mathematical depth of the analytical techniques and algorithms to fill an exciting Project Leader (PL) role within BCN Labs. The PL is expected to be an expert in data science techniques along with proven academic spikes of playing around with statistical learning models. A PL will typically lead a small team of Associates and/or Analysts to deliver a client use-case end-to-end with some oversight or work on projects on their own delivering insights to the client along with a Manager A Masters/PhD or any other advanced degrees in a field linked to analytics such as Statistics, Computer Science, Applied Mathematics, Economics, Operations Research, Engineering, etc; If you are a Bachelors in any of the fields mentioned above, then we would seek a stellar academic record with proof of ability in not just implementing analytics but also working through the underlying techniques and algorithms; Excellent skills in Python, SQL, predictive and/or prescriptive analytics, LLMs (preference for GPTs, with exposure to prompt engineering and RAG); (Good-to-have, but not necessary) Exposure to either AWS or Azure with some experience of deploying Python based solutions on these cloud platforms, Airflow, Snowflake, PySpark, Git, Docker, etc
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