Senior Data Science Manager

About the job

The Senior Data Science Manager is responsible for delivering the use case roadmap and leading exploratory analyses to identify trends.

These trends will drive value for the business, allocating critical resources, and monitoring the performance based on KPIs.

Responsibilities:

• Establish a data science project plan to enable the strategy and roadmap.
• Supervise ongoing data science projects utilizing required methodologies such as time-series analyses, hypothesis testing, and causal analyses.
• Lead and manage advanced and non-routine data science projects including origination, qualification, collection of data, data cleaning and results validation.
• Develop an understanding of data structures and metrics, advocating for changes where needed for both platform development and data analytics.

Qualifications:

• Master’s degree in Computer Science/Engineering or any relevant field or equivalent work experience accepted
• 5+ years of relevant experience within a particular area of expertise in Data Science, Machine Learning, AI etc.
• Advanced knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Experience in manipulating, processing, and extracting value from large, disconnected datasets
• Proficiency in programming with Python, R, or similar programming language
• Proficiency in Microsoft Azure stack and the corresponding data analytic and data management tools such as DataBricks, AzureML, ADF, ADLS etc.
• Proficiency in distributed databases and query languages such as SQL or HQL (Snowflake)

Advantage:

• PhD in Machine Learning or any AI related field will be beneficial
• Profound knowledge of advanced statistical techniques, Machine Learning and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with application
• Advanced knowledge in relevant data techniques, including statistical methods, distributed databases, query languages, etc.

*** Only successful candidates will be contacted ***

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