Our Client Currently looking for Manager – Data Science
What Will You Do :
– Actively explore and identify the latest techniques related to DS, ML and automation/agentic techniques.
– Perform hypothesis testing, data preparation and product prototyping based on modern statistical and DS/ML and agentic methods.
– Research, develop and apply DS/ML/agentic models to solve business and clients problems effectively.
– Use your knowledge to anticipate, identify, and address data issues related to redundancies, quality, and bias.
– Apply rigorous data cleaning and preprocessing techniques to ensure high-quality data for modelling.
– Lead data science projects, blending various data science techniques as needed to achieve optimal performance and actionable insights.
– Continuously explore innovative and novel approaches to improve modelling accuracy and efficiency.
– Collaborate directly with internal analytics and business teams, to understand and document requirements, and deliver data science solutions that meet their specific business needs.
– Monitor data quality, troubleshoot issues, and implement improvements to ensure data reliability.
– Apply your communication, collaboration and emotional intelligence skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
– Facilitate cross-functional collaboration with other teams and departments.
What Youll Need :
– 3-5 years of experience in in applied data science, analytics, or ML engineering.
– Strong SQL skills and comfort working with large-scale, multi-source data.
– Experience with version control (Git) and collaborative coding workflows.
– Advanced Python skills, incl. pandas, numpy, scikit-learn, scipy, statsmodels for modelling and analytics.
– Bachelors or advanced degree in Statistics, Economics, Business, Math, or Sciences is preferred.
– Experience in building and execution of advanced solutions for audience analytics and insights.
– Strong analytic and problem-solving skills, understanding and experience in application of AI methodologies for data manipulation and insight.
– Experience with data visualization platforms beyond Power BI/Tableau.
– Sufficient knowledge of data governance practices including data QA, general naming taxonomy, data & platform integration, etc.
– Ability to communicate analytical findings to non-technical stakeholders clearly and impactfully.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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