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Senior Data Scientist

Velotio logo

Location
India
Velotio

Job Description

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

Desired Skills Experience:

  • 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

Benefits

Our Culture:

  • 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

Note: Currently, all interviews and onboarding processes at Velotio are being carried out remotely through virtual meetings.

Advice from our career coach

A successful applicant for this data science role at Velotio Technologies should have a strong background in statistical analysis, predictive modeling, and machine learning algorithms. They should be proficient in Python and popular data analysis libraries like Pandas and NumPy, as well as have experience with big data processing frameworks such as Spark and Hadoop. Excellent problem-solving and analytical skills are crucial, as well as a solid understanding of SQL and databases. Communication and presentation skills are also important for effectively sharing findings and insights with stakeholders.

  • Demonstrate a deep understanding of statistical analysis, predictive modeling, and machine learning algorithms
  • Show proficiency in Python and popular data analysis libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch
  • Highlight experience with big data processing frameworks such as Spark and Hadoop
  • Showcase strong problem-solving and analytical skills
  • Emphasize proficiency in SQL and databases
  • Discuss experience with cloud platforms like AWS, Azure, or GCP
  • Provide examples of effective communication and presentation skills in sharing findings and insights
  • If applicable, highlight any advanced degrees in a quantitative field like Data Science, Computer Science, Statistics, or Mathematics

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