Our Client Currently looking for Data Science Manager – SQL/Python

Key Accountabilities :

Responsibilities will include but will not be restricted to :

– Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities.

– Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions.

– Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions.

– Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns.

– Assess the effectiveness and accuracy of new data sources and data gathering techniques.

– Coordinate with different functional teams to implement models and monitor outcomes.

– Recruit, train, develop and supervise Junior level employees.

– Develop processes and tools to monitor and analyze model performance and data accuracy.

Technical Requirements (what) :

– Proven experience of 12+ years as a Data Scientist.

– Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus.

– Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset.

– Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement.

– Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks.

Desired Personal Qualities or Behavior :

– Strong Analytical critical thinking skills and business acumen

– Strong commitment to professional development.

– Process Oriented and excellent time management skills.

– Ability to adapt to new situations and issues and to solve problems.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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