Job Description

Job Title: Associate Data ScienceEngineer

CTC range: 10-12LPA

About Gramener

Gramener is an award-winning, design-leddata science company.. Gramener helps solve complex business problems withcompelling data stories using insights and a low-code AI-powered platform forclients across multiple industries, including Pharmaceuticals & LifeSciences, Logistics & Manufacturing, ESG, and Technology & Consulting.Gramener’s AI-led platform leverages Computer Vision, NLP (Natural LanguageProgramming), NLG (Natural Language Generation), and Spatial Analytics.

Gramener is part of Straive, a leader inhelping organizations operationalize the data -> insights -> knowledge-> AI value chain.

Website: https://gramener.com

Summary

As a Data Science Engineer, you will transformraw data into actionable insights, integrate machine learning models along withutilizing a combination of data engineering, full-stack development, andcontinuous learning for comprehensive and impactful solutions.

Responsibilities

·        Data Collection and Ingestion: Write pipelines by using various dataengineering guidelines to enable data flow from disparate sources and making isavailable at a central location for further analytical use-cases using Cloud /Hybrid Eco-systems.

·        Data Exploration and Insight Generation: Use large and complex datasets forchurning out meaningful insights and make it consumable in form ofvisualisation. Usage of tech. like – Python, Pandas, Spark, Data Factory,Databricks, DWH will be the daily job.

·        Programming and Software Development: Utilize Python and Full-Stack (HTML,CSS, JS) skills to perform data API development, Data Application developmentwhich enhances data consumptions. Integration of models in Data Pipelines, DataApps will be needed for making a business focused analytical solutions.

·        Infrastructure and Architecture: Good understanding of Computer Hardwareis must along with Cloud understanding, collaboration with the Infra team isneeded to implement scalable data solutions.

·        Data Visualisation: Creation of interactive visualisation is needed using D3js, Chart.js,Vega.js etc.

·        Data Quality: Monitor data quality and help implement data governance practices toensure data integrity.

·        Continuous Learning: Stay up-to-date with industry trends and emerging technologiesrelated to data analysis.

·        Documentation: Maintain detailed documentation of all the technical things.

Qualifications

·        Bachelor's (4 years)/ Masters (3+2 years) degree from a premierinstitution in a relevant field (e.g., Computer Science, Information Technology,MCA or other equivalent streams).

·        Strong analytical and problem-solving skills.

·        Proficiency in tools such as Excel, Python, SQL, HTML, CSS, JS, DataFactory, Databricks will be an added advantage.

·        Basic understanding of DevOps concepts, AI/ML will be helpful.

·        Excellent communication and presentation skills.

·        Ability to work both independently and collaboratively within a team.

·        Eagerness to learn and adapt to new technologies and tools.

·        A passion for data-driven decision-making.