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Algorithm Scientist Jobs in Farmington Hills, MI

Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates ...

Senior Algorithm Engineer

Novi, MI · On-site

$102K - $150K/yr

Ensures good documentation for all the algorithm design and implementation decisions. Acts as a ... Science, Robotics Engineering or related degree field. Pay Range: $102,190.00 - $150,200.00/year ...

... python algorithm/packages to build business solutions. 3. Banking/credit risk management. 4. ... Analytics Scientist - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note ...

... algorithms and models to analyze data, build predictive systems, and enhance decision-making. 5. ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

As a Data Scientist, you will play a critical role in leveraging data science to drive significant ... Stay updated on research papers and cutting-edge algorithms in both the GenAI and ML domains.

Showing results 21-40

Algorithm Scientist information

See Farmington Hills, MI salary details

$49.7K

$109.6K

$135.3K

How much do algorithm scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for algorithm scientist in Farmington Hills, MI is $109,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $134,800.00 per year, depending on experience, location, and employer.

What is an algorithm scientist?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

How does an algorithm scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are the key skills and qualifications needed to thrive as an algorithm scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

What are popular job titles related to Algorithm Scientist jobs in Farmington Hills, MI?

For Algorithm Scientist jobs in Farmington Hills, MI, the most frequently searched job titles are:

Infographic showing various Algorithm Scientist job openings in Farmington Hills, MI as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,562 per year, or $52.7 per hour.

Data Science and Machine Learning Senior Associate

KYYBA Inc

Dearborn, MI • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
KYYBA Inc is a company seeking a Data Science and Machine Learning Senior Associate to leverage data science methodologies for predicting and extracting meaningful trends from raw data. The role involves designing and implementing data analysis and machine learning models to support data-driven decision-making.
Responsibilities:
• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
• Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
• 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
• 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
• 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
• 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.
Qualifications:
Required:
• 5+ years of experience in a Data Science role, with a proven track record of delivering models that impact business outcomes.
• Expert proficiency in Python (specifically libraries like Pandas, NumPy, Scikit-learn, SciPy) or R.
• Deep understanding of a broad range of ML techniques, including Gradient Boosting (XGBoost/LightGBM), Random Forests, GLMs, and Clustering.
• Ability to manipulate and extract data from complex, multi-terabyte distributed databases.
• Strong foundation in linear algebra, calculus, and advanced statistical inference.
• Experience with version control (Git) and writing clean, modular, and maintainable code.
• Master's Degree
Company:
Kyyba, Inc. Founded in 1998, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

KYYBA logo

About KYYBA

Sourced by ZipRecruiter

About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

1998

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