Senior Data Scientist

3 weeks ago

Bengaluru, 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 the Senior 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.


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 :


Looking for a Senior Data Scientist role with an experience in the range of 2-4 years. Here are some of the responsibilities expected from the role:

1. Responsible for solving open-ended, non-trivial, high-impact business problems related to overall user experience, fraud detection, personalisation, responsible game play (to name a few) etc. using machine/deep learning, optimization, statistical analysis and related techniques. 2. Drive ML/DS projects independently end-to-end right from engaging with different stakeholders and partner teams (product; engineering; business; marketing etc) across Gameskraft; understanding the problem statement clearly; coming up with appropriate design and solution in a fast, iterative and time bound manner. 3. Develop a strong understanding of key business metrics and concepts and perform data analysis to get useful insights and develop different hypotheses and validate with sound rigorous methodologies as a precursor to formulating the problems and modeling with ML. 4. Carry out the literature review (understand ML/DS related scientific papers around the given problem domain); exploratory data analysis; feature engineering; model building; integrate them in product and work on continuously improving them. 5. Work with and mentor the fellow data scientists on the team.



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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