Data Scientist

Reyes Holdings, L.L.C.; Rosemont (IL); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical

Dental

Vision coverage

Paid Time Off

Retirement Benefits

complimentary Health Screenings

Job summary

Reyes Holdings, L.L.C. is seeking a data science professional to apply data mining, statistical analyses and predictive modeling to solve complex business problems in a fast-paced environment.

You will develop and deploy machine learning models, translate data into actionable insights, and collaborate with senior data scientists to ensure robust modeling techniques and high-quality results.

Qualifications

• Bachelor’s or higher in a data-related field with 3–5 years of quantitative/computational experience.
• Strong foundation in data structures, algorithms, distributed computing and ML concepts.
• Experience with SQL development, data profiling and data analysis.
• Familiarity with AI, NLP and modern ML/deep learning techniques.

Responsibilities

• Apply data mining, statistical analysis, predictive modeling and network analysis to solve business problems.
• Develop and implement machine learning models delivering actionable insights for decisions.
• Use effective ML techniques, define data requirements, develop models and evaluate performance.
• Document projects with objectives, data processing, algorithms, results and metrics.
• Collaborate with peers, senior data scientists and data SMEs on modeling techniques.
• Document lessons learned and process improvements.
• Other duties as assigned.

Skills

Data mining

Statistical analysis

Predictive modeling

Correlation analysis

Probability analysis

Network analysis

Machine learning

Model evaluation

Education

Bachelor’s Degree in Data Science

3–5 years quantitative experience

High School Diploma + 6–8+ years exp

Master’s Degree in Data Science (preferred)

Tools

PyTorch

TensorFlow

MLflow

Caffe

Snowflake

Databricks

Azure ML

Job description

• Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems
• Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions
• Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance
• Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics
• Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques
• Document lessons learned and process improvement techniques
• Other duties as assigned

Position Responsibilities

• Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems
• Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions
• Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance
• Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics
• Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques
• Document lessons learned and process improvement techniques
• Other duties as assigned

Required Education and Experience

• Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience

Preferred Education and Experience

• Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization
• Understanding of data structures, algorithms, and distributed computing, both for data and optimization
• Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning
• Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.
• Exposure to Geo Spatial Data, Demography Data
• Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling
• Experience with Snowflake, Databricks, Azure ML Cloud Services

Benefits

At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.

• Medical
• Dental
• Vision coverage
• Paid Time Off
• Retirement Benefits
• complimentary Health Screenings

Equal Opportunity Employee & Physical Demands

Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.

Background Check and Drug Screening

Offers of employment are contingent upon successful completion of a background check and drug screening.

Pay Transparency

Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.