Senior Data Scientist

About Velotio: Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified Great Place to Work® and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 325+ elite software engineers solves hard technical problems while transforming customer ideas into successful products. Requirements :

• Collaborate with cross-functional teams to define problem statements, hypotheses, and success metrics for data science projects
• Design, develop and deploy machine learning models and predictive analytics solutions at scale
• Perform exploratory data analysis, feature engineering, and data preprocessing to support model development
• Apply statistical analysis and machine learning techniques to extract insights and solve business problems
• Prototype and implement data products and pipelines using modern data tools and frameworks
• Drive the adoption of best practices in data science, including experiment design, testing, and evaluation
• Communicate findings and insights to stakeholders through data visualization, reports, and presentations
• Stay up-to-date with the latest developments and trends in machine learning and data science

• 5+ years of industry experience in data science or related field
• Strong expertise in statistical analysis, predictive modeling, and machine learning algorithms
• Proficient in Python and popular data analysis and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
• Experience with big data processing frameworks (e.g., Spark, Hadoop)
• Solid understanding of SQL and databases
• Experience with cloud platforms (e.g., AWS, Azure, GCP)
• Excellent problem-solving and analytical skills
• Strong communication and presentation skills
• Master's or PhD in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics) is preferred

• We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly.
• Flat hierarchy with fast decision making and a startup-oriented “get things done” culture.
• A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.