JOB DESCRIPTION

Experience : 2 - 4 Yrs / 4 - 6 Yrs

Location : Bengaluru

Designation : Data Scientist

Roles and Responsibilities :

Data-Driven Analysis and Model Building :

• Lead andoversee the creation, deployment, and continuous improvement of datamodels and analytical systems that optimize business operations.
• Utilize advanced machine learning andstatistical models toaddress complex business problems and improve decision-making processes.
• Ensure that all models and analyses are reproducible, scalable, and sustainable for long-term use.

Automation of Analytical Processes :

• Design andbuild automation tools to streamline datapreparation, model training, testing, and deployment, improving overall efficiency.
• Collaborate withsoftware engineers andother technical teams to implement automation solutions that can be leveraged across the organization.
• Work towards reducing manual interventions and improving datapipeline processes byintegrating automation at various stages of the analysis workflow.

Cross-Team Collaboration for Actionable Insights:

• Collaborate withdifferent teams (e.g., business units, product teams, operations) tounderstand their challenges, identify opportunities, and deliver data-driven solutions that offer actionable insights.
• Provide guidance and mentorship tojunior team members, enabling them toextract valuable insights from data and build predictive models.
• Communicate complex technical results andmodel findings ina clear andconcise manner to non-technical stakeholders, ensuring alignment between technical and business goals.

Data Sourcing and Integration :

• Work with both internal andexternal data sources to gather thenecessary data foranalysis, ensuring its quality, reliability, and relevance to business needs.
• Evaluate andintegrate new data sources that canenhance existing models or contribute tonew initiatives.
• Create efficient processes for managing and cleaning large volumes of data from various sources to make it usable for analysis and model development.

Developing Reliable Solutions :

• Develop robust, scalable data solutions that support ongoing business analytics efforts, ensuring high availability and accuracy.
• Create predictive models, statistical analyses, and simulations thathelp businesses forecast trends, identify patterns, and make informed decisions.
• Take ownership of the end-to-end lifecycle of datasolutions, from initial conception and experimentation to implementation and monitoring of performance.

Requirements :

• 5+ years of experience in analytics filed having Bachelors or Masters in a quantitative field
• Ability toprogram in python/SQL and proven problem solving and debugging skills, familiar with database technologies and tools
• Statistical knowledge of standard modelling concepts and techniques : Linear Regression, Classification models(Logistic, Random forest, clustering, Boosting methods), Neural Networks and Ensembles methods

Technical Skill :

• Python
• SQL
• AWS