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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Associate Scientist information
See Michigan salary details
$16.34 - $19.41
6% of jobs
$19.41 - $22.48
12% of jobs
$23.95 is the 25th percentile. Wages below this are outliers.
$22.48 - $25.54
14% of jobs
$25.54 - $28.61
13% of jobs
The median wage is $29.53 / hr.
$28.61 - $31.68
16% of jobs
$34.68 is the 75th percentile. Wages above this are outliers.
$31.68 - $34.74
14% of jobs
$34.74 - $37.81
11% of jobs
$37.81 - $40.87
6% of jobs
$40.87 - $43.94
5% of jobs
$43.94 - $47.01
1% of jobs
$47.01 - $50.07
1% of jobs
$16
$31
$50
How much do associate scientist jobs pay per hour?
Is an associate scientist entry level?
What degree do you need to be an associate scientist?
What are some common challenges an associate scientist might face when transitioning from academia to industry?
What does an associate scientist do?
What is an associate scientist?
An associate scientist takes on more responsibilities than an assistant scientist, supporting research and each experiment under the lead scientist, often in a laboratory environment. As an associate scientist, there are many industries you can work in, including the research field where the lead scientist oversees your project, and you help author papers. Many pharmaceutical companies hire associate scientists to analyze samples to develop drugs and assist with preclinical and clinical studies. Private companies need you to produce specialty chemicals for their clients. Materials scientists at the associate level conduct research and test the properties of metals, plastics, and other materials for their use in new products and packaging. Some positions have duties that include training other team members and overseeing students and fellows.
What is the difference between Associate Scientist vs Research Scientist?
| Aspect | Associate Scientist | Research Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's degree in a relevant field; some roles may require a PhD | Typically a Master's or PhD in a related discipline |
| Work Environment | Laboratories, research facilities, industry settings | Research labs, academic institutions, industry |
| Employer & Industry Usage | Biotech, pharmaceuticals, academia, government | Biotech, pharmaceuticals, academia, government |
| Common Search & Comparison Intent | Understanding entry-level or mid-level research roles | Advanced research roles, career progression |
Associate Scientists and Research Scientists often work in similar environments within biotech, pharma, or academic sectors. The main difference lies in experience and educational requirements, with Research Scientists typically holding higher degrees and engaging in more independent or advanced research. Both roles are essential for scientific progress, but Research Scientists usually have more responsibility and autonomy in their projects.
What are the key skills and qualifications needed to thrive as an associate scientist, and why are they important?
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Full-time
Re-posted yesterday
Job description
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