Gameskraft - Lead Data Scientist - Big Data Technologies
4 weeks ago
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.
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