Data Science Manager

4 weeks ago

Bengaluru, India SKS Enterpprises - Human Resource Planning and Management Full time

Position Name - Data Science Manager

Location - Bangalore

Experience Range - 8+ yrs


Mandatory Requirement:


  • Work with large datasets, using programming languages such as Python, R, or others, to extract, transform, and analyze data.


Job Roles and Responsibilities:


  • Provide strategic vision and leadership to the data science team, nurturing an environment of innovation and collaboration. Establish well-defined objectives, oversee team performance, and cultivate the growth of team members' skills and abilities.
  • Collaborate with senior leadership to develop data-driven strategies that align with business objectives and drive growth as we develop our next generation of marketing technology. Identify opportunities to leverage data analytics and machine learning to gain a competitive advantage.
  • Oversee the analysis of large datasets to extract meaningful insights, trends, and patterns. Use statistical techniques and machine learning models to solve complex business problems.
  • Spearhead the creation of predictive models, recommendation systems, and various other data science solutions aimed at enhancing operational efficiency, elevating customer experiences, and refining our product offerings.
  • Establish data governance policies and practices to protect sensitive information. Ensure data quality, accuracy, and security standards are maintained.
  • Work closely with cross-functional teams including engineering, product management, sales and customer success to identify and address data-related needs and opportunities.
  • Keep abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Recommend and implement new tools and technologies as needed.


Qualification and Experience:


  • Proven experience (8+years) in Data Science, with at least 3 years in a management role.
  • Bachelor's or Master's degree or PhD in Data Science, Computer Science, Statistics, or a related field.
  • Strong knowledge of data analysis, machine learning, and statistical modelling.
  • Excellent verbal and written communication skills
  • Proficiency in programming languages like Python, R, SQL
  • Experience in big data technology and cloud-based development (prefer AWS)
  • Specialization in Deep Learning, NLP, OR, RL, Time Series, MLOps, etc.
  • Experience using a wide range of data science and engineering tools and technologies including Matillion, Snowflake, PySpark, Kubernetes, Tableau, Open Source packages, etc.
  • Ability to translate business requirements into technical solutions.
  • Strong project management and team management skills.

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