Lead Data Scientist
- Gameskraft
- 8 - 13 years
- Bengaluru
- 9 months ago
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Job Description
About GameskraftEstablished in 2017, Gameskraft has become one of India s fastest-growing
companies. We are building the worlds 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. Lead Data ScientistAs Lead Data Scientist, youll be actively involved in the daily development
and execution of advanced analytics and machine learning solutions. Youll
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 Lead Data Scientist, you will : Data Strategy:
Develop and execute a comprehensive data strategy that aligns with the
organizations objectives.
Identify, prioritize, and drive data science opportunities that maximize
business value.
Advocate for data-driven decision-making across the organization. Advanced Analytics and Machine Learning:
Lead the design, development, and deployment of advanced analytics and
machine learning models.
Ensure the team leverages state-of-the-art techniques, tools, and
frameworks to address complex business challenges.
Drive experimentation, hypothesis testing, and model validation to optimize
outcomes. Data Governance and Quality:
Establish and enforce best practices for data governance, security, and
compliance.
Work closely with data engineering teams to maintain high-quality,
reliable, and well-documented data pipelines.
Ensure scalability, reproducibility, and transparency of data science
workflows. Collaboration:
Partner with business stakeholders to understand key objectives and
translate them into actionable data science initiatives.
Work with different functions like product, business, marketing, and
engineering teams to integrate data science solutions into production systems.
Act as a bridge between technical teams and business leaders, ensuring
alignment and impact. Innovation and Thought Leadership:
Stay ahead of industry trends, emerging technologies, and best practices
while fostering a culture of continuous learning, experimentation, and
knowledge-sharing.
Drive innovation by exploring novel methodologies, publishing research in
reputed AI and data science conferences, and contributing to intellectual
property through patents.
Share thought leadership through blogs, whitepapers, and industry forums to
influence and advance the field. Performance Measurement and Impact Assessment:
Define and monitor key performance indicators (KPIs) to measure the success
of data science initiatives.
Continuously assess and refine models, tools, and processes to enhance
business impact.
Promote a results-driven mindset, ensuring data science contributes to
measurable business outcomes. Communication and Stakeholder Engagement:
Effectively translate complex technical concepts into clear, actionable
insights for non-technical audiences.
Prepare and deliver reports, presentations, and thought leadership
materials for senior management and other stakeholders.
Advocate for data science across the organization, influencing
decision-makers to embrace data-driven strategies. Mentorship and Team Development
Lead, mentor, and inspire the data science team to excel in technical and
strategic problem-solving.
Provide technical guidance, best practices, and hands-on support in model
development and deployment.
Foster an environment of continuous learning, encouraging skill enhancement
through training, workshops, and knowledge-sharing sessions.What we expect you will bring to the table : A Masters or Ph.D. in Computer Science, Statistics, Machine Learning, or a
related field.
5-8 years of hands-on experience in delivering production-ready data
science projects.
Strong expertise in machine learning, statistical modeling, and data
analytics, with hands-on experience in algorithms such asregression,
classification, clustering, and time series analysis. Deep Learning and GenAI
Experience is a plus.
Proficient programming skills in languages like Python, with experience in
libraries such asscikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, and
Matplotlib for data manipulation, modeling, and visualization.
Experience with big data technologies such as Hadoop, Spark, and
distributed computing frameworks for processing large datasets.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud,
including services likeS3, Redshift, Databricks, and Machine Learning platforms.
Experience publishing research papers at reputed AI conferences is a plus.
Proven success in implementing data science solutions that generate
business value.
Strong communication and leadership abilities.
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!
Job Classification
Industry: GamingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: GameskraftLocation(s): Bengaluru
Keyskills: Computer science Publishing ISO 27001 Machine learning Intellectual property data governance Hypothesis Testing Gaming Python performance measurement
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Established in 2017, Gameskraft has become one of Indias fastest-growing companies. We are building the worlds 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 five members to a large family of 600+ Krafters, working...
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