Data Science and Machine Learning Senior Associate

KYYBA, Inc

Dearborn, MI

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JOB DETAILS

SKILLS

A/B Testing, Algorithms, Analysis Skills, Automation, Best Practices, Business Model, Calculus, Data Analysis, Data Management, Data Mining, Data Modeling, Data Quality, Data Science, Data Sets, Decision Support, Demand Forecasting/Planning, DevOps, Distributed Databases, Experiment Design, GCP (Good Clinical Practices), Git, Leadership, Linear Algebra, Machine Learning, Mathematics, Mentoring, Optimization Algorithm, Performance Modeling, Predictive Modeling, Process Improvement, Process Modeling, Production Systems, Python Programming/Scripting Language, Reinforcement Learning, Requirements Management, Return on Investment (ROI), SQL (Structured Query Language), Source Code/Configuration Management (SCM), Statistics, Systems Reliability, Technical Leadership

LOCATION

Dearborn, MI

POSTED

30+ days ago

Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Desired Experience (Minimum Requirements) " Professional Experience: 5+ years of experience in a Data Science role, with a proven track record of delivering models that impact business outcomes. " Programming Expertise: Expert proficiency in Python (specifically libraries like Pandas, NumPy, Scikit-learn, SciPy) or R. " Machine Learning Foundations: Deep understanding of a broad range of ML techniques, including Gradient Boosting (XGBoost/LightGBM), Random Forests, GLMs, and Clustering. " Advanced SQL: Ability to manipulate and extract data from complex, multi-terabyte distributed databases. " Mathematics & Statistics: Strong foundation in linear algebra, calculus, and advanced statistical inference. " Software Best Practices: Experience with version control (Git) and writing clean, modular, and maintainable code.

Skills Required:
ALGORITHMS, Python, GCP

Skills Preferred:
N/A

Experience Required:
Senior Associate Exp: 3 to 5 years experience in relevant field

Experience Preferred:
Hybrid 4 days a week onsite

Education Required:
Master's Degree

Additional Information:
" Model Development: Design, develop, and deploy high-performance machine learning models (supervised, unsupervised, and reinforcement learning) to address business needs such as churn prediction, recommendation engines, or demand forecasting. " Experimental Design: Lead the design and analysis of large-scale experiments (A/B testing, multivariate testing) to validate hypotheses and measure the impact of product changes. " Feature Engineering: Architect and implement robust data pipelines and feature engineering processes to improve model accuracy and scalability. " Algorithm Optimization: Evaluate and refine existing algorithms to improve computational efficiency and predictive power. " Stakeholder Influence: Act as a strategic advisor to leadership, translating complex algorithmic outcomes into business-centric narratives that drive ROI. " Technical Leadership: Mentor junior data scientists and contribute to the team s internal library of best practices, code standards, and research methodologies. " Collaboration with Engineering: Partner with ML Engineers and DevOps to integrate models into production systems, ensuring reliability and monitoring model drift.

About the Company

KYYBA, Inc

Kyyba group of companies are privately held and specialize in staff augmentation, application software and project solutions. In operation for more than 15 years, we have earned an enviable track record and reputation within all the industries we serve. Our unique processes and maturity enables us to understand the needs of the business organizations and provide business solutions that match the real and compelling needs of our customers.

Headquartered in Michigan, Kyyba has multiple office locations and we serve local, regional and national client base consisting of Fortune 500 and middle market companies. Kyyba extends the above solutions and services to a broad spectrum of industry verticals ranging from automotive, insurance, technology, financial, transportation, government and so on.

COMPANY SIZE

100 to 499 employees

INDUSTRY

Staffing/Employment Agencies

FOUNDED

1998

WEBSITE

http://www.kyyba.com/

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