Data Scientist

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:

• Work closely with the business team to identify key questions and create data-driven solutions to

address them

• 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

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

• 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.

Qualifications:

• B.S. degree in Statistics, Mathematics, Computer Science, Economics, Mathematics, Operations

Research, Engineering or similar quantitative field; Graduate degree in a quantitative field highly

preferred.

• 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

expand their data science experience

• Experience using statistics and machine learning to solve complex business problems
• Experience in financial services is a plus but not a requirement

Thanks & Regards,