GAMESKRAFT TECHNOLOGIES PRIVATE LIMITED
Location
Bangalore | India
Job description
Job Description :What you'll do :As the Lead Data Scientist, you will be working hands on day to day, driving the development and implementation of advanced analytics and machine learning solutions. You will play a critical role in shaping the data strategy, guiding the team in extracting meaningful insights from large datasets, and ensuring the successful deployment of data-driven solutions to meet business objectives.What we expect you bring to the table :- Provide strategic vision and leadership for the data science team.- Build, mentor, and lead a high-performing team of data scientists.- Collaborate with cross-functional teams to align data science initiatives with overall business goals.- Develop and execute a comprehensive data strategy that aligns with the organization's objectives.- Identify and prioritize data science opportunities that drive business value.- Design, development, and implementation of advanced analytics and machine learning models.- Ensure the team is utilizing state-of-the-art techniques and technologies to solve complex business problems.- Establish and enforce data governance practices to ensure the accuracy and reliability of data used in analytics.- Collaborate with data engineering teams to ensure data quality and integrity.- Collaborate with business stakeholders to understand their needs and translate them into data science initiatives.- Work closely with IT and business leaders to integrate data science solutions into existing business processes.What we expect you will bring to the table :- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.- Proven experience 5-6 years leading and managing data science teams.- Strong expertise in machine learning, statistical modeling, and data analytics.- Excellent programming skills in languages such as Python or R.- Demonstrated success in implementing data science solutions that drive business impact.- Strong communication and leadership skills.- Experience with big data technologies and cloud platforms (e.g., Hadoop, Spark, AWS, Azure) is a plus.- Knowledge of industry-specific regulations and compliance standards related to data. (ref:hirist.tech)
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