Senior Data Scientist
Senior Data Scientist
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Job Description
Job Title : Senior Data Scientist
Location : San Antonio TX (Onsite)
Duration: 12 Month
JD:
The candidate should have
1. Strong expertise and experience in Feature Engineering Must have handled millions of records and thousands of columns of data and has done Feature Reduction Feature Selection Sample Selection Feature Creation etc
2. Must have extensive experience in Prediction Models specifically XGBoost Models
3. Having knowledge in Graph DB and Graph Analytics is a plus AWS Neptune is preferred
4. Should be strong in python and ML libraries and packages for model development.
Responsibilities
- Gathers interprets and manipulates structured and unstructured data to enable analytical solutions for the business.
- Selects the appropriate modeling technique and/or technology with consideration to data limitations application and business needs.
- Build various ML Models within the Model guidelines and framework.
- Consults with peers for guidance as needed.
- Translates business requirements into specific analytical questions build ML Models and present model outcomes to nontechnical business colleagues.
- Consults with Data Engineering IT the business and other internal stakeholders to deploy analytical solutions
Skills & Qualifications
- 10 to 12 years of relevant experience and 6 years of experience in data science machine learning quantitative analytics (Mathematics Statistics or Operational Research etc) roles
- Masters degree in computer science Statistics or a related field (Mathematics Operational Research Data Science)
- Must have extensive experience in Feature Engineering Data Wrangling Feature Reduction Feature Selection and Feature Creations
- Experience in Building and validating statistical machine learning and other advanced analytics models.
- Experience in Regression (multiple Logistic etc) Classification (Decision Tree Random Forest XGBoost etc) and Time series Forecasting models (ARIMA) Segmentation NLP Deep Learning and Graph Analytics (AWS Neptune).
- Experience in Data Mining Python SQL and familiarity with ML technologies
- Experience in using ML Libraries.
- Working Experience in Domino Data Lab AWS Sagemaker Snowflake are a plus
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Excellent problemsolving analytical skills and attention to detail with the ability to identify patterns trends and anomalies in data.
- Ability to write code that is easy to follow well documented and commented where necessary to explain logic (high code transparency).
- Strong communication and collaboration skills with the ability to effectively interact with technical and nontechnical stakeholders.
Employment Type
Full Time
