We are looking for a Sr. Data Scientist whose primary responsibilities are listed below:

Job Responsibilities:

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
• Track record of leading and collaborating on strategic initiatives
• Strong team and business communication skills – can walk through approach with technical clients or explain tricky concepts to non-technical people
• Experience with big data tools: Hadoop, Spark, Scala, Kafka, etc.
• Experience with data pipeline: Airflow, etc.
• Ability to collaborate with people at all levels and with multi-office/region teams
• Must thrive in a fast paced yet sometimes ambiguous environment and be able to work independently

Job Requirements:

• Around 9+ years of Experience in application development using Python, JSON, Json Schema, GitHub, JIRA, Jenkins, MongoDB, PostgreSQL, MySQL, and Redis.
• Extensively used open-source tools for analysis: PyCharm (Professional), JupyterLab/Notebook
• Familiar with JSON based REST Web services and Amazon Web Services (AWS).
• Experience in Python Development and Scientific Programming and using NumPy and Pandas in Python for Data Manipulation.
• Proficient database development and management experiences. Write an aggregate query in MySQL, PostgreSQL databases, Cloud based AWS (EC2, S3, Lambda, DynamoDB, Cloud watch, CloudFormation, ECS Fargate, CloudTrail)
• Ability to build and optimize data sets, ‘big data’ data pipelines and architectures
• Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
• Excellent analytic skills associated with working on unstructured datasets
• Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata