Job Responsibilities
- Own and execute end to end delivery of one or more than one analytics project
- 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 data sources, develop predictive models using appropriate variables and ML/deep learning techniques and operationalize the models on a BI platform for end user’s 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
Primary skillset
- Analogic simulation tool
- End-to-end data science project life cycles from use case framing, data collection, data exploration, model building to deployment − Good knowledge in statistics and deep understanding of ML algorithms and their usage (Time series, Regression, Classification, Clustering, Anomaly Detection, NLP, etc.)
Secondary skillset
- Deep expertise in analytical tools:
- At least one of the statistical computing language (R, Python, Tensorflow, Keras etc.)
- At least one of the 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 variety of machine learning solutions
Qualification
- BE/ B. Tech / ME/ M. Tech • MBA (Analytics / IT / SCM / Operations / General Management)
- M.Sc. (Statistics/ Mathematics/ Economics/ Ops Research/ Other quantitative disciplines.
- Masters in IE, operations research as a requirement
NOTE
To specifically look for a master's degree in operations research, industrial engineering, etc., and strong prior experience with process modeling and simulation tools e.g. Analogic.
What we believe
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the center of everything we do.
Humility
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
Humanity
Through business, we will better the lives of those less fortunate than ourselves.
Integrity
We honor our commitments and act with responsibility in all our relationships.
Equal Employment Opportunity Statement
UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.
- To support and promote the values of UST.
- Comply with all Company policies and procedures