Job Description

Data-Driven Analysis and Model Building :

– Lead and oversee the creation, deployment, and continuous improvement of data models and
analytical systems that optimize business operations.
– Utilize advanced machine learning and statistical models to address 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 and build automation tools to streamline data preparation, model training, testing, and
deployment, improving overall efficiency.
– Collaborate with software engineers and other technical teams to implement automation solutions
that can be leveraged across the organization.
– Work towards reducing manual interventions and improving data pipeline processes by integrating
automation at various stages of the analysis workflow.

Cross-Team Collaboration for Actionable Insights :

– Collaborate with different teams (e.g., business units, product teams, operations) to understand
their challenges, identify opportunities, and deliver data-driven solutions that offer actionable
insights.
– Provide guidance and mentorship to junior team members, enabling them to extract valuable
insights from data and build predictive models.
– Communicate complex technical results and model findings in a clear and concise manner to
non-technical stakeholders, ensuring alignment between technical and business goals.

Data Sourcing and Integration :

– Work with both internal and external data sources to gather the necessary data for analysis,
ensuring its quality, reliability, and relevance to business needs.
– Evaluate and integrate new data sources that can enhance existing models or contribute to new
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 that help businesses forecast
trends, identify patterns, and make informed decisions.
– Take ownership of the end-to-end lifecycle of data solutions, 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 to program 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
*Qualification : B.E / B. Tech / BCA /MCA / M Tech / B Sc / M.Sc(Computer Science)

Notice Period: Immediate or 15 Days

Date: 26. 06. 2025