Data Scientist

Pearl Technologies invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are an entrepreneurial-minded organization that welcomes and support individual idea and strategies.

We are currently expanding and looking to add a motivated and experienced Data Scientist to join our team in India.

Responsibilities
• Understand the business requirements and processes around advanced analytics model execution
• Collect data from disparate structured and unstructured sources in support of model development
• Extract data using data mining techniques to uncover trends and derive insights; analyze forecasting metrics,
• Perform exploratory data analysis with the goal to uncover trends, find root causes of forecast inaccuracies and developing innovative features that can drive additional value
• Build machine learning models with advanced analytics techniques to extend our capabilities and deliver new business value
• Capture and present data-driven business insights
• Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation and model implementation
• Work closely with software engineering teams to drive real-time model implementations and new feature creations
• Leverage existing data sources, identify, and mine data from new sources, identify opportunities for and execute primary data gathering efforts, and provide recommendations on scaling new methods more broadly

Requirements
• University degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 5 years relevant experience
• 3+ years of hands-on Snowflake Practitioner experience in a Data Engineering role
• Must be Snowflake Certified or should have experience in Snowflake. The SnowPro® Advanced: Data Scientist Certification is preferred
• Excellent knowledge of Python and SQL
• Experience on Azure ML Studio is Preferred
• Experience with Azure and AWS Services
• Experience in big data processing and the development of Python and SQL for large amounts of data
• Considerable experience with unit and integration testing
• Excellent analytical, storytelling, and problem-solving skills
• Ability to translate/communicate analytics recommendations to both technical and nontechnical team members
• Strong understanding of quantitative (univariate and multivariate) analysis techniques
• Experience with predictive modelling and machine learning
• Strong experience with statistical analytical techniques, data mining, machine learning, and predictive models using Python, R , PySpark, Matillion or similar tools
• Experience using scripting language for collecting, organizing and manipulating data
• Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective

Benefits
• Competitive Salary
• Career Growth
• Remote Role