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Data Science Lead

2 months ago

Bengaluru, Karnataka, India Gameskraft Full time
About Gameskraft

Established in 2017, Gameskraft has become one of India's fastest-growing companies. We are building the world's most-loved online gaming ecosystem, one game at a time. Our short-term success lies in the fact that we strive to focus on building a safe, secure, and responsible gaming environment for everyone. Our vision is to create unmatched experiences every day and everywhere. We set the highest benchmarks in the industry in terms of design, technology, and intuitiveness. We are the industry's only ISO 27001 and ISO 9001 certified company.

Job Title: Lead Data Scientist

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.

Key Responsibilities:
  • Develop and execute a comprehensive data strategy that aligns with the organization's objectives.
  • Identify and prioritize data science opportunities that drive business value.
  • Oversee the 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.
  • Stay abreast of industry trends and emerging technologies in data science and analytics.
  • Foster a culture of innovation within the data science team.
  • Define and monitor key performance indicators (KPIs) to assess the impact of data science initiatives.
  • Continuously evaluate and improve the effectiveness of data science solutions.
  • Effectively communicate complex technical concepts to non-technical stakeholders.
  • Prepare and present regular updates and reports to senior management.
Requirements:
  • 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.