Lead Data Scientist

Insight Global; Columbus (OH); On-site; USD 82,656 - 89,544; Full time

Job summary

A well-known staffing company is seeking an experienced analytics professional in Columbus, OH. The role requires a Master's degree and extensive experience in statistics, machine learning, and competitive modeling across financial services. Responsibilities include leading the development and deployment of data-driven models and mentoring junior team members. Candidates should be proficient in Python, R, or SAS, and have a strong analytical mindset. A competitive pay structure between $60.00/hr and $65.00/hr is offered, with a contract type of employment.

Qualifications

• Master's degree and 5+ years experience in statistics and machine learning.
• Expert understanding of statistical methods like Bayesian Networks and regression.
• Experience with big data analysis tools and predictive models.

Responsibilities

• Prioritize analytical projects based on business value.
• Conduct research on machine learning techniques.
• Own the model development process from requirement gathering to deployment.
• Provide leadership and mentoring to team members.
• Work with stakeholders to ensure business needs are met.

Skills

Knowledge of machine learning and data analytics tools

Predictive modeling methodology

Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)

Experience with machine learning environments (e.g., TensorFlow, scikit-learn)

Financial Services background

Ability to train junior analysts

Ability to communicate complex results

Intellectually curious thinker

Education

Master's degree or PhD in computer science, statistics, economics, or related fields

Tools

R/RStudio

Python

SAS

SQL

Job description

This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/hr - $65.00/hr

Candidates MUST go on-site at one of the following locations

• Columbus, OH
• Cleveland, OH
• Indianapolis, IN
• Hagerstown, MD
• Chicago, IL
• Houston, TX
• Charlotte, NC
• Akron, OH

Experience

• Master’s degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines
• Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
• Python, R, or SAS SQL and some sort of lending experience (i.e., HELOC, Mortgage) is most important
• If a candidate has credit card experience (i.e., Discover or Bread financial) THEY ARE A+ fit!

Education

• Master’s degree or PhD in computer science, statistics, economics or related fields

Responsibilities

• Prioritizes analytical projects based on business value and technological readiness
• Performs large-scale experimentation and build data-driven models to answer business questions
• Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
• Evangelizes best practices to analytics and products teams
• Acts as the go-to resource for machine learning across a range of business needs
• Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
• Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization
• Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
• Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s)
• Coaches individuals through change and serves as a role model

Skills

• Up-to-date knowledge of machine learning and data analytics tools and techniques
• Strong knowledge in predictive modeling methodology
• Experienced at leveraging both structured and unstructured data sources
• Willingness and ability to learn new technologies on the job
• Demonstrated ability to communicate complex results to technical and non-technical audiences
• Strategic, intellectually curious thinker with focus on outcomes
• Professional image with the ability to form relationships across functions
• Ability to train more junior analysts regarding day-to-day activities, as necessary
• Proven ability to lead cross-functional teams
• Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
• Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
• Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
• Financial Services background preferred

Seniority level

Not Applicable

Employment type

Contract

Job function

Information Technology

Industries

Banking