- Work closely with the business team to identify key questions and create data-driven solutions to
- Develop and maintain documentation of data sources, methodologies, and analyses
- Partner with the business team(s) to understand the business requirements, understand the impact on existing systems, and design and implement new data provisioning pipeline process for Finance/ External reporting domains
- Statistical Methodology: Knowledge of advanced techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc).
- Natural Language Processing: Knowledge and experience developing end-to-end NLP methodologies for sentiment analysis, text classification, topic modeling
- Data Mining & Machine Learning: Knowledge and experience in advanced data mining & modeling
- Business acumen: Understanding the bigger picture for customers and the business and the know-how to probe beyond stakeholders stated requests to understand what is truly needed to capture and drive business value.
- B.S. degree in Statistics, Mathematics, Computer Science, Economics, Mathematics, Operations
- 2+ years of experience in a data engineering, analytics or data science role
- 1+ years of experience in Natural Language processing methodologies
- Strong Python, Spark ML and SQL skills, R, SAS experience or exposure helpful
- Experience with Google Cloud Platform preferred
- Enthusiastic quick learner who loves to code, has a solid mathematical foundation, and wants to
- Experience using statistics and machine learning to solve complex business problems
- Experience in financial services is a plus but not a requirement
Company
Location
McKinney, TX - United States of America
Job type
Full-Time
Python Job Details
Senior Data Scientist
Full Time/Permanent hire
Hybrid, McKinney, TX (one day in office per week)
Job description:
We are looking for people who are self-motivated, responsive individuals who are passionate about data. You will work collaboratively with a team of statistical analysts, business analysts and data engineers, throughout the project lifecycle. Data extraction, feature engineering, model design and development and everything in between this is a role that requires hands-on expertise to create value adding solutions that solve real business problems.
Core responsibilities:
address them
techniques (GLM/Regression, K-Means Clustering, Decision Trees, Random Forest, GNBC, NLP, AI,
Social Network Analysis, etc.), and the ability to articulate their suitability for a given challenge
Qualifications:
Research, Engineering or similar quantitative field; Graduate degree in a quantitative field highly
preferred.
expand their data science experience
Thanks & Regards,
Uday Raj Manager at Onwardpath 2701 Larsen Rd #BA142, Green Bay, WI 54303 Ph: +1 |
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