Data Scientist

Work Location: Bangalore (Whitefield)

What Gramener offers you

Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with great scope to innovate. We aim to create an ecosystem of easily configurable data applications focused on storytelling for public and private use.

Roles and Responsibilities

• Own and execute end-to-end delivery of one or more analytics projects.
• Understand requirements from Product Managers/Business Users.
• Translating muddy and fuzzy business needs into clear analytical problems through structured problem-solving.
• Extract data from multiple sources, develop predictive models using appropriate variables and ML/deep learning techniques, and operationalize the models on a BI platform for end-user consumption.
• Validate the models developed against statistical robustness and business sense.
• Perform ad-hoc deep dive analysis proactively / based on stated needs − Generate insights based on the data patterns and recommend actions to be taken by the business.
• Communicate the results to technical as well as business stakeholders across different hierarchies.
• Create technical documentation and provide post-production support for a time-bound period.

Skills and Qualifications

• BE/ B. Tech / ME/ M. Tech • MBA (Analytics / IT / SCM / Operations / General Management) • M.Sc. (Statistics/ Mathematics/ Economics/ Ops Research/ Other quantitative disciplines.
• 5+ years of comprehensive data science project life cycles from use case framing, data collection, data exploration, and model building to deployment.
• Good statistics knowledge and deep understanding of ML algorithms and their usage (Time series, Regression, Classification, Clustering, Anomaly Detection, NLP, etc.).
• Deep expertise in analytical tools: − At least one statistical computing language (R, Python, Tensorflow, Keras, etc.) At least one query language (T-SQL, PLSQL, Hive, Spark, Impala, Cassandra, MongoDB, etc.).
• Knowledge of big data is essential − At least one of the reporting/visualization tools (Tableau, QlikView, SSRS, Power BI, D3, Angular JS, etc.).
• Proven record of successfully building and operationalizing a variety of machine-learning solutions.

About us

We consult and deliver solutions to organizations where data is the core of decision-making. We undertake strategic data consulting for organizations, laying out the roadmap for data-driven decision-making. This helps organizations convert data into a strategic differentiator. Through a host of our products, solutions, and Service Offerings, we analyze and visualize large amounts of data.

To learn more about us, visit Gramener Website and Gramener Blog.