You Are
UST is searching for a Lead/Senior Data Scientist who under supervision, will leverage data to arrive at business solutions and creates prototypes of the solution to define analytics roadmap for clients, thereby bringing in business to the organization.
The Opportunity
- Work with stakeholders and creates quick prototypes of the solution to define the analytics roadmap.
- Work with business to understand the business domain and convert business problems into an analytics problem
- Create or use existing frameworks to test and validate new models
- Explain models and put results in easy to interpret manner such that a non-analytic person can understand
- Turn data into information that can improve current workflow or processes that will help to make better business decisions. Generate business insights to help clients with decision-making.
- Adhere to best practices of coding
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required
What You Need
- Programming languages – Java/ Python/ R.
- Web Services - Redshift, S3, Spark, DigitalOcean, etc.
- Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Computing Tools - Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Database languages such as SQL, NoSQL
- Analytical tools and languages such as SAS & Mahout.
- Practical experience with ETL, data processing, etc.
- Proficiency in MATLAB.
- Data visualization software such as Tableau or Qlik.
- Proficient in Mathematics and Calculations.
- Spreadsheet tools such as Microsoft Excel or Google Sheets
- DBMS
- Operating Systems and software platforms
- Knowledge about customer domain and about subdomain where the problem is solved
- Proficient in at least 1 version control tool like git, bitbucket
- Have experience working with project management tools like Jira
- Data Science based high-performance application development knowledge is required.
- NLP and Computer Vision tools and libraries – OpenCV, spaCY, Transformers, Attention models, etc.