Offer summary

Qualifications:

Master's degree in Computer Science or related field, or Bachelor's degree with 5+ years of experience., 3+ years of experience in developing production-grade machine learning solutions., Proficiency in programming languages such as Python, JavaScript, and C++., Deep experience with current-generation ML algorithms and Python data stack (Pandas, Numpy, SKlearn, etc.)..

Key responsibilities:

Collaborate with internal teams to understand game data and identify opportunities for AI-driven features.

Design, develop, evaluate, and deploy Machine Learning algorithms for actionable insights.

Lead initiatives to enhance data analytics capabilities focusing on predictive and prescriptive analytics.

Transform large datasets into machine learning-ready formats.

Job description

Blitz is a quickly growing and self-sustaining start-up that provides gamers with personalized stats and insights powered by billions of matches. High performance is at the core of our values. We are a team of gamers and entrepreneurial technologists with big ambitions. At Blitz, you will find co-workers who are friendly, eager to collaborate, and work creatively to ship market-defining software. If you thrive in an environment optimized for autonomy, innovation, teamwork, and embody our principles, Blitz is the place for you to make an outsized impact.

Join Blitz at a pivotal moment as we pioneer advanced computer vision solutions for the gaming industry. Blitz is at the forefront of offering real-time game insights, overlays, and coaching to millions of users worldwide.

Role Description

As a Sr Data scientist, you will play an important role in shaping our AI driven products and services. Your primary focus will be scouring our data warehouse, transforming large data into Machine learning ready datasets. You will further assist in developing, evaluating, A/B testing and deploying Machine learning models into production.

This is a Data science (classical ML) role. If your experience revolves around Data Analysis, Computer Vision, NLP, Gen AI, Power BI etc. this is not the right role for you.

Your Responsibilities Include

Collaborating with internal teams to understand game data, existing features and identify opportunities for AI-driven features.
Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights for our players.
Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.

Qualifications (Please make sure you meet the below requirements before applying)

A Master's degree in Computer Science or related and 3+ or Bachelor’s and 5+ years of work experience in developing production grade machine learning (Internship or Academic experience will not be considered).
Excellent problem-solving and analytical skills.
Proficiency in one or more programming languages such as Python, JS and C++.
Deep experience with current-generation ML algorithms.
Proficient with Python data stack (Pandas, Numpy, SKlearn, LightGBM, XGBoost, Matplotlib)
Experience with a database query language such as SQL.
Experience with scalable data processing tools (Spark, Dataflow or similar)
Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.
Gaming experience is a massive plus.

Behavioral traits

Desire for impact: ready to take on a responsibility and collaborate with your team.
You’re an owner: driven, focused, and quick to take ownership of your work
Humble: you seek out feedback and appreciate your colleagues.
Growth-minded: you’re eager to expand your skill set and excited to demonstrate it with your work.

Compensation:

Salary range of INR 25 - 50 LPA (actual compensation will be determined based on experience, location, and other factors permitted by law).

What We Offer

Competitive salary
Annual performance bonus
Unlimited vacation policy
100% covered medical, dental, and vision plan

Salary for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

Blitz is an Equal Opportunity Employer. We are committed to equal employment opportunity and the use of affirmative action programs to ensure that persons are recruited, hired, trained, transferred and promoted in all job groups regardless of race, color, religion, age, disability, national origin, citizenship status, military or veteran status, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, genetic information, and any other category protected by federal, state or local law.

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