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 ...
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 ...
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Principal Data Scientist (US)
Southfield, MI · On-site +1
$148K - $223K/yr
Leads authority on Data Science concepts, principals, practices and standards * Thought leader on IT risk-based approaches to Data Science * Sets the direction and oversees the work of other Data ...
Principal Data Scientist (US)
Southfield, MI · On-site
$148K - $223K/yr
Leads authority on Data Science concepts, principals, practices and standards * Thought leader on IT risk-based approaches to Data Science * Sets the direction and oversees the work of other Data ...
Principal Data Scientist (US)
Southfield, MI · On-site
$148K - $223K/yr
Leads authority on Data Science concepts, principals, practices and standards * Thought leader on IT risk-based approaches to Data Science * Sets the direction and oversees the work of other Data ...
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Translate complex business questions and challenges into well-defined data science problems and analytical tasks. * Develop, train, and evaluate statistical and machine learning models to address ...
Quick apply
Data Scientists Modeling
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Translate complex business questions and challenges into well-defined data science problems and analytical tasks. * Develop, train, and evaluate statistical and machine learning models to address ...
Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar ...
Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar ...
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Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially ...
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Data Science and Machine Learning Specialist Dearborn, MI 4 days on site. W2 Position Description: Employees in this job function are responsible for predicting and/ or extracting meaningful trends ...
Quick apply
Data Science and Machine Learning Specialist Dearborn, MI 4 days on site. W2 Position Description: Employees in this job function are responsible for predicting and/ or extracting meaningful trends ...
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We are a remote-first team committed to using data science for social good and building tools that are trusted by the people making high-stakes infrastructure decisions. The role BlueConduit is ...
Quick apply
Data Scientist Machine Learning Practitioner
Ann Arbor, MI · On-site
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Data Science and Machine Learning Senior Associate Dearborn, MI 4days onsite W2 Position Description: Employees in this job function are responsible for predicting and/ or extracting meaningful ...
Quick apply
Data Science and Machine Learning Senior Associate Dearborn, MI 4days onsite W2 Position Description: Employees in this job function are responsible for predicting and/ or extracting meaningful ...
Data Scientist
Sterling Heights, MI · On-site
$50 - $58/hr
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Data Scientist
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You will work across data engineering, applied data science, and production software to turn raw robotics data into trusted systems that support analytics, model development, operational insights ...
New
You will work across data engineering, applied data science, and production software to turn raw robotics data into trusted systems that support analytics, model development, operational insights ...
New
Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems. Recruiting for this role ends on 8/31/2026. Work You'll ...
Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems. Recruiting for this role ends on 8/31/2026. Work You'll ...
Data Scientist
Dearborn, MI · On-site
Bachelor's degree in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or ... Experience with data augmentation and efficient loading techniques. * Expert proficiency in Python ...
Data Scientist
Dearborn, MI · On-site
Bachelor's degree in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or ... Experience with data augmentation and efficient loading techniques. * Expert proficiency in Python ...
Weekend Data Science information
What is a weekend data science?
A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.
What skills and qualifications are needed to thrive as a weekend data scientist?
To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.
What challenges do data scientists working on weekends face, and how can they be managed?
Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.
What is the difference between Weekend Data Science vs Part-Time Data Analyst?
| Aspect | Weekend Data Science | Part-Time Data Analyst |
|---|---|---|
| Credentials | Typically requires a degree in data science, statistics, or related field | Often requires a degree or relevant experience in data analysis or related fields |
| Work Environment | Project-based, flexible hours, often remote or on-site during weekends | Flexible hours, may be remote or on-site, often with less technical complexity |
| Industry Usage | Used in tech, finance, healthcare, and startups for specialized projects | Common in retail, marketing, and small businesses for routine data tasks |
Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.
Do weekend data scientists work on weekends?
Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.
What are the most commonly searched types of Data Science jobs in Michigan?
The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Weekend Data Science jobs in Michigan?
For Weekend Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Michigan look for?
The top searched job categories for Weekend Data Science jobs in Michigan are:
What cities in Michigan are hiring for Weekend Data Science jobs?
Cities in Michigan with the most Weekend Data Science job openings:
Full-time
Re-posted 12 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 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.
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