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Freelance Data Scientist

Freelance Data Scientist

Leading MNCbelgaum, karnataka, in
20 hours ago
Job description

Looking for a Freelance Data Scientist to join a team of rockstar developers. The candidate should have a minimum of 4+ yrs. of experience.

There are multiple openings. If you're looking for freelance / part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans / BITS grads with 10+ years of development experience + work with F500 companies (our customers).

Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q4 2025.

Key Responsibilities :

  • Product Development & Deployment : Lead end-to-end development and productionization of data science solutions from ideation through production deployment
  • LLM Integration : Design, implement, and integrate various Large Language Models (LLMs) into production systems using Python
  • Advanced Modeling : Build and optimize models using LightGBM, XGBoost, and cutting-edge foundation models including TimeGPT and Lag-Llama
  • Feature Engineering : Conduct advanced feature engineering and deep-dive analysis to identify meaningful patterns and insights that enhance model performance and robustness
  • Model Optimization : Build, test, and optimize machine learning models for production environments with focus on reliability, scalability, and performance
  • Time Series Forecasting : Develop sophisticated forecasting solutions leveraging both traditional and foundation model approaches
  • Stakeholder Collaboration : Work closely with product managers, engineers, and business stakeholders to translate business problems into technical solutions
  • Production Monitoring : Implement monitoring and maintenance strategies to ensure model performance and reliability in production

Required Qualifications :

  • Experience : 4-5 years of hands-on experience in data science roles
  • Production Experience : Demonstrated experience in productionizing data science solutions from scratch, including deployment and monitoring
  • Python Expertise : Advanced proficiency in Python with strong software engineering practices
  • Gradient Boosting Models : Deep knowledge and hands-on experience with LightGBM and XGBoost, including hyperparameter tuning and optimization
  • Foundation Models : Practical experience with modern foundation models such as TimeGPT and Lag-Llama for time series forecasting
  • LLM Integration : Hands-on experience integrating different types of Large Language Models (GPT, Claude, open-source models, etc.) into production systems
  • Feature Engineering : Deep expertise in feature engineering, data exploration, and extracting actionable insights from complex datasets
  • Model Development : Strong understanding of machine learning algorithms, ensemble methods, model evaluation, and optimization techniques
  • Technical Stack : Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) and cloud platforms (AWS / Azure / GCP)

    • Preferred Qualifications

  • Industry Experience : Background in FMCG (Fast-Moving Consumer Goods) or retail sectors is a strong plus
  • Time Series Expertise : Experience with classical time series methods (ARIMA, Prophet) alongside modern foundation models
  • MLOps : Experience with MLOps tools and practices (Docker, Kubernetes, CI / CD pipelines)
  • API Development : Experience building and deploying APIs for ML models
  • Big Data : Familiarity with big data technologies (Spark, Hadoop) and data warehousing solutions
  • A / B Testing : Experience designing and analyzing experiments

    • Technical Skills

    Core Programming & ML

  • Programming : Python (required), SQL
  • ML / AI : Machine Learning, Deep Learning, NLP, LLM integration
  • Gradient Boosting : LightGBM, XGBoost, CatBoost
  • Foundation Models : TimeGPT, Lag-Llama, and other time series foundation models

    • Frameworks & Libraries

  • ML Frameworks : scikit-learn, PyTorch, TensorFlow
  • LLM Tools : Hugging Face, LangChain, OpenAI API
  • Data Processing : Pandas, NumPy, Polars
  • Forecasting : Prophet, statsmodels, Nixtla (TimeGPT)

    • Infrastructure & DevOps

  • Cloud Platforms : AWS / Azure / GCP
  • Containerization : Docker, Kubernetes
  • Version Control : Git, MLflow
  • Data Pipelines : Airflow, Prefect

    • What we need

  • ~35 hours of work per week.
  • 100% remote from our side
  • You will be paid out every month.
  • Min 4yrs of experience
  • Please apply only if you have a 100% remote job currently
  • If you do well, this will continue for a long time
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    Data Scientist • belgaum, karnataka, in