Data Scientist

• Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products
• Apply your quantitative analysis, data mining, and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption
• Influence product development, strategy, and roadmap prioritization
• Design and implement machine learning pipelines that improve the company s evidence-based decision-making capabilities
• Tackle complex problems requiring a creative mindset to find innovative and elegant solutions

Job Requirements:

• Bachelor s/Master s degree in Computer Science (or equivalent experience)
• 2+ years of experience with data science practices and machine learning solutions
• Prior experience with SQL or NoSQL databases
• Skilled at Python, Java, or Scala
• Knowledgeable with big data platforms (Hadoop, Spark, or Hive)
• Must possess a passion for designing, analyzing, and deploying machine learning-based solutions
• Good understanding of CS fundamentals, e.g. algorithms and data structures
• Experience in statistical programming tools such as R, Matlab, SAS, etc.
• Experience with data science toolkits like Pandas, Jupyter, scikit-learn, TensorFlow, etc.
• Must be familiar with statistics concepts and analysis, e.g. hypothesis testing, regression, etc.
• Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc.
• Experience in handling tools like MLflow, Airflow, Cron, Docker, and Cloud Platforms such as AWS/GCP is a plus
• Good communication skills and ability to explain complex topics to a non-technical audience