Senior Data Scientist

• Lead end-to-end data science projects — from problem definition and data collection to model development and deployment.
  
  

• Build predictive models, recommendation systems, and statistical analyses that drive product innovation.
  
  

• Work with engineers to integrate models into scalable, production-grade software systems.
  
  

• Develop and maintain data pipelines, ensuring high-quality and consistent data availability.
  
  

• Apply advanced statistical and machine learning techniques to extract insights from complex datasets.
  
  

• Collaborate closely with product, engineering, and business teams to define data-driven strategies.
  
  

• Mentor junior data scientists and contribute to best practices in data modeling and experimentation.
  
  

• Communicate results and technical concepts effectively to non-technical stakeholders.
  
  

• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, or a related field.
  
  

• 5+ years of experience in data science, analytics, or applied machine learning roles.
  
  

• Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  
  

• Experience with SQL and data visualization tools (e.g., Power BI, Tableau, or Plotly).
  
  

• Deep understanding of statistical modeling, machine learning algorithms, and data preprocessing techniques.
  
  

• Familiarity with cloud environments (AWS, GCP, or Azure) and version control (Git).
  
  

• Experience deploying models into production and monitoring performance.
  
  

• Excellent problem-solving, analytical, and communication skills.
  
  

Nice to Have:

• Experience with big data frameworks (Spark, Hadoop).
  
  

• Knowledge of LLMs, generative AI, or AI-assisted analytics.
  
  

• Background in MLOps and automation of ML pipelines.
  
  

Prior experience working in a software development or product-based environment.