DATA SCIENTIST – MLE

Job Description:

• Processing, cleansing, and validating the integrity of data to be used for analysis.                         
• Analyzing large amounts of information to find patterns and solutions.
• Business analysis, requirements gathering and design techniques.
• Experience with web scraping tools and frameworks
• Understanding of the principles of Machine learning and Statistics.
• Understanding of the challenges of distributed data processing.
• Work with stakeholders throughout the organization to identify opportunities for leveraging  company data to drive business solutions.
• product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom and models and algorithms to apply data sets.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Propose solutions and strategies to tackle business challenges.
• Ability to interact well with cross functional team is required.
• Exposure and experience working with different Cloud technologies
• Experience with handling big data and big data technologies (e.g., Hadoop, Spark).

Preferred Skills:

• Data Analytics, Hypothesis testing, Machine learning algorithms and Predictive Modeling, Deep Learning, Natural Language Processing, Survival Models, Classification, Clustering, Segmentation, AB-Testing, Strong Statistical Knowledge is a must.
• Programming Languages: Python, Pyspark, SQL 
• Cloud Platforms: Azure/AWS/GCP