Senior Data Scientist

4 weeks ago

Bangalore Urban, 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. Started by a group of passionate gamers, we have grown from a small team of 5-6 members to a large family of 600+ Krafters, working out of our office in Prestige Tech Park, Bangalore.

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.


Senior Data Scientist


As Senior Data Scientist, you'll be actively involved in the daily development and execution of advanced analytics and machine learning solutions. You'll shape the data strategy, lead the team in deriving insights from large datasets, and ensure the successful deployment of data-driven solutions to achieve business goals.


You will have the opportunity to collaborate on a diverse range of projects across multiple business units, gaining exposure to different aspects of the organization. This will allow you to broaden your expertise, learn from various domains, and understand how data science can drive value in different areas. Working on these varied projects will help you develop a well-rounded skill set, enabling you to tackle complex challenges and apply data-driven solutions in different contexts.


As a Senior Data Scientist, you will :


  1. Data Strategy:
  • Develop and execute a comprehensive data strategy that aligns with the organization's objectives.
  • Identify and prioritize data science opportunities that drive business value.
  1. Advanced Analytics and Machine Learning:
  • 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.
  1. Data Governance and Quality:
  • 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.
  1. Collaboration:
  • 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.
  1. Innovation:
  • Stay abreast of industry trends and emerging technologies in data science and analytics.
  • Foster a culture of innovation within the data science team.
  1. Performance Measurement:
  • 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.
  1. Communication:
  • Effectively communicate complex technical concepts to non-technical stakeholders.
  • Prepare and present regular updates and reports to senior management.


What we expect you will bring to the table :


  1. A Master's or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field.
  2. 2-4 years of hands-on experience in delivering production-ready data science projects.
  3. Strong expertise in machine learning, statistical modeling, and data analytics, with hands-on experience in algorithms such as regression , classification , clustering , and time series analysis . Deep Learning Experience is a plus.
  4. Proficient programming skills in languages like Python , with experience in libraries such as scikit-learn , TensorFlow , Keras , PyTorch , Pandas , NumPy , and Matplotlib for data manipulation, modeling, and visualization.
  5. Experience with big data technologies such as Hadoop , Spark , and distributed computing frameworks for processing large datasets.
  6. Familiarity with cloud platforms like AWS , Azure , or Google Cloud , including services like S3 , Redshift , Databricks , and Machine Learning platforms.
  7. Proven success in implementing data science solutions that generate business value.
  8. Strong communication and leadership abilities.
  9. Familiarity with industry-specific regulations and data compliance standards.



If you are passionate about creating exceptional user experiences, possess strong leadership skills, and have a track record of delivering successful data science, we encourage you to apply for this exciting opportunity.


We are committed to providing equal opportunity in employment and creating an inclusive work environment.


Remember, together, we can achieve more

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