Lead Data Scientist
Lead Data Scientist
Posted on :
20-08-2025
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1 Vacancy
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Job Description
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.
Present information using data visualization techniques.
Propose solutions and strategies to business challenges.
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 8-12 years as a Data Scientist.
Post Graduate degree in Computer Science Engineering Physics Mathematics Econometrics or MBA with
a ML/DS focus.
Knowledge and experience in machine learning optimization statistical and data mining techniques-
regression simulation clustering decision trees classification algos (bagging/boosting) neural networks.
Knowledge of SQL Python SPARK; familiarity with Scala Java or C is an asset. Candidates with
experience of working on AWS stack will be preferred however this is not a compulsory requirement.
Experience with distributed data/computing tools: Map/Reduce Hadoop Hive Spark Gurobi will be an
added advantage.
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.
Good organizational communication presentational and people skills - with the capability to communicate
concisely and effectively equally well with fellow employees non-technical colleagues and with members
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.
Present information using data visualization techniques.
Propose solutions and strategies to business challenges.
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 8-12 years as a Data Scientist.
Post Graduate degree in Computer Science Engineering Physics Mathematics Econometrics or MBA with
a ML/DS focus.
Knowledge and experience in machine learning optimization statistical and data mining techniques-
regression simulation clustering decision trees classification algos (bagging/boosting) neural networks.
Knowledge of SQL Python SPARK; familiarity with Scala Java or C is an asset. Candidates with
experience of working on AWS stack will be preferred however this is not a compulsory requirement.
Experience with distributed data/computing tools: Map/Reduce Hadoop Hive Spark Gurobi will be an
added advantage.
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.
Good organizational communication presentational and people skills - with the capability to communicate
concisely and effectively equally well with fellow employees non-technical colleagues and with members
Employment Type
Full-time
Key Skills
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