Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments. * Develop interpretable, production-grade models ...
Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments. * Develop interpretable, production-grade models ...
Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments. * Develop interpretable, production-grade models ...
Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments. * Develop interpretable, production-grade models ...
Scientist-Research Engineer (ML)
Dearborn, MI · On-site
Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference.
Scientist-Research Engineer (ML)
Dearborn, MI · On-site
Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference.
... time-series forecasting, and NLP. • Own end-to-end ML pipelines from data ingestion, preprocessing, training, validation, tuning, and deployment. • Utilize Amazon SageMaker or similar platforms ...
... time-series forecasting, and NLP. • Own end-to-end ML pipelines from data ingestion, preprocessing, training, validation, tuning, and deployment. • Utilize Amazon SageMaker or similar platforms ...
Research Engineer / Scientist
Dearborn, MI · On-site
... time series forecasting, random forest, multi-variate analysis, neural networks, etc. Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through ...
Research Engineer / Scientist
Dearborn, MI · On-site
... time series forecasting, random forest, multi-variate analysis, neural networks, etc. Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through ...
Research Engineer / Scientist
Dearborn, MI · On-site
... time series forecasting, random forest, multi-variate analysis, neural networks, etc. Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through ...
Quick apply
Research Engineer / Scientist
Dearborn, MI · On-site
... time series forecasting, random forest, multi-variate analysis, neural networks, etc. Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through ...
... time series forecasting, random forest, multi-variate analysis, neural networks, etc. Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through ...
... time series forecasting, random forest, multi-variate analysis, neural networks, etc. Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through ...
Experience applying machine learning methods including time-series forecasting, random forests, clustering, and neural networks. * Experience with Python, R, Spark, and Hadoop. * Experience ...
Experience applying machine learning methods including time-series forecasting, random forests, clustering, and neural networks. * Experience with Python, R, Spark, and Hadoop. * Experience ...
Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost ...
Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost ...
Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost ...
Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost ...
Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost ...
Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost ...
Proven experience building and deploying production-grade predictive models, time-series forecasting, and optimization algorithms. Hands-on experience building and deploying Agentic AI solutions for ...
Proven experience building and deploying production-grade predictive models, time-series forecasting, and optimization algorithms. Hands-on experience building and deploying Agentic AI solutions for ...
Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains. * Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search ...
Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains. * Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search ...
Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains. * Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search ...
Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains. * Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search ...
Sr. Manager, Yield Management - GTM Advanced Analytics
Dearborn, MI · Hybrid
$141K - $268K/yr
Proven experience building and deploying production-grade predictive models, time-series forecasting, and optimization algorithms. Hands-on experience building and deploying Agentic AI solutions for ...
Sr. Manager, Yield Management - GTM Advanced Analytics
Dearborn, MI · Hybrid
$141K - $268K/yr
Proven experience building and deploying production-grade predictive models, time-series forecasting, and optimization algorithms. Hands-on experience building and deploying Agentic AI solutions for ...
Vehicle Prognostics - Applied Data Scientist
Dearborn, MI · On-site
$85K - $160K/yr
... time series forecasting, random forest, multi-variate analysis, neural networks, etc. * Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through ...
Vehicle Prognostics - Applied Data Scientist
Dearborn, MI · On-site
$85K - $160K/yr
... time series forecasting, random forest, multi-variate analysis, neural networks, etc. * Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through ...
IT Tools Engineer
Auburn Hills, MI · On-site
Lead the development, implementation, and maintenance of advanced analytical models (e.g. predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost trends ...
IT Tools Engineer
Auburn Hills, MI · On-site
Lead the development, implementation, and maintenance of advanced analytical models (e.g. predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost trends ...
Applied AI Scientist
Ann Arbor, MI · On-site
... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...
Applied AI Scientist
Ann Arbor, MI · On-site
... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...
AI Engineer
Birmingham, MI · Remote
Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our ...
AI Engineer
Birmingham, MI · Remote
Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our ...
Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our ...
Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our ...
Time Series Forecasting information
See Michigan salary details
$44.9K - $48.6K
22% of jobs
$49.8K is the 25th percentile. Wages below this are outliers.
$48.6K - $52.3K
8% of jobs
$52.3K - $55.9K
19% of jobs
The median wage is $56.1K / yr.
$55.9K - $59.6K
14% of jobs
$62.8K is the 75th percentile. Wages above this are outliers.
$59.6K - $63.3K
14% of jobs
$63.3K - $67K
8% of jobs
$67K - $70.7K
2% of jobs
$70.7K - $74.4K
1% of jobs
$74.4K - $78K
0% of jobs
$78K - $81.7K
0% of jobs
$81.7K - $85.4K
12% of jobs
$44.9K
$60.7K
$85.4K
How much do time series forecasting jobs pay per year?
As of Aug 9, 2026, the average yearly pay for time series forecasting in Michigan is $60,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $64,900.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in time series forecasting?
Excelling in Time Series Forecasting requires a strong background in statistics, mathematics, data analysis, and experience with forecasting methodologies, often supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, statistical software (e.g., SAS, MATLAB), and familiarity with machine learning frameworks are commonly expected, along with relevant certifications being a plus. Attention to detail, problem-solving skills, and effective communication are important soft skills for interpreting results and collaborating with stakeholders. Mastery of these skills ensures accurate forecasting, actionable insights, and valuable contributions to data-driven business decisions.
What are some common challenges professionals face in time series forecasting?
Professionals in Time Series Forecasting frequently encounter challenges such as handling missing or irregular data, selecting appropriate models for complex real-world scenarios, and accounting for seasonality and trends in datasets. They are often tasked with transforming raw data into a usable format, validating model performance, and continuously refining models as new data becomes available. Collaboration with business teams is essential to ensure forecasts align with organizational goals and are clearly communicated to non-technical stakeholders. Overcoming these challenges requires both technical expertise and effective problem-solving approaches, making the work dynamic and impactful.
What is a time series forecasting?
A Time Series Forecasting job involves analyzing sequential data points collected over time to identify patterns and trends, then using statistical and machine learning models to make future predictions. Professionals in this field work with historical data, applying techniques such as ARIMA, exponential smoothing, and deep learning models like LSTMs. These forecasts help businesses optimize decision-making in areas like sales, finance, inventory management, and demand planning. Strong skills in data analysis, programming (Python, R), and domain expertise are typically required.
What are the most commonly searched types of Time Series Forecasting jobs in Michigan? The most popular types of Time Series Forecasting jobs in Michigan are:
What are popular job titles related to Time Series Forecasting jobs in Michigan? For Time Series Forecasting jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Time Series Forecasting jobs in Michigan look for? The top searched job categories for Time Series Forecasting jobs in Michigan are:
Full-time
Medical, Dental, Vision, Retirement
Re-posted 10 days ago
Job description
Be the one building AI-powered experiences where they matter most.
At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.
Principal Applied AI Engineer, Finance
We are seeking a Principal Applied AI Engineer to lead the design and delivery of next-generation AI and predictive models that transform financial decision-making at scale. This role sits at the intersection of advanced machine learning, agentic AI, and software engineering, with a strong focus on production-grade AI systems, intelligent automation, and predictive modeling.
The ideal candidate is both a strategic technical leader and hands-on builder-capable of architecting complex AI systems with a software engineering mindset, influencing organizational direction, and delivering measurable business impact. You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and establish best practices across modeling, deployment, and governance in a finance context.
Architect and lead the development of agentic AI systems that automate and augment finance workflows (e.g., forecasting, reporting, and decision support).
Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration patterns (e.g., RAG, model chaining, dynamic prompting).
Translate cutting-edge research in LLMs and agentic AI into scalable, production-ready solutions.
Establish guardrails, evaluation frameworks, and responsible AI practices to ensure safe, compliant, and reliable outputs.
Design fault-tolerant, observable agent systems with clear failure modes and recovery strategies
Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments.
Develop interpretable, production-grade models that drive retention strategies and financial planning.
Define and standardize evaluation metrics, validation frameworks, and monitoring systems for model performance and drift detection.
Translate complex predictive insights into actionable recommendations for finance and business leaders.
Design and build scalable AI/ML systems with a strong emphasis on software engineering best practices (modular design, APIs, CI/CD, testing).
Lead end-to-end development from concept to production, ensuring robustness, scalability, and maintainability.
Develop and integrate AI services into internal applications and workflows, including light front-end/back-end components where needed.
Drive adoption of modern tooling (e.g., containerization, orchestration, cloud-native architectures).
Establish and enforce MLOps best practices for deployment, monitoring, retraining, and governance of AI systems.
Ensure systems meet enterprise standards for security, compliance (e.g., SOX), and auditability.
Develop advanced feature engineering strategies capturing behavioral, financial, and temporal signals.
Set technical direction for AI/ML initiatives across the finance organization.
Lead complex, cross-functional projects and mentor other data specialists.
Work alongside stakeholders across finance, IT, and product to adopt AI-driven solutions.
Contribute to long-term AI strategy, identifying opportunities to drive efficiency and innovation.
8+ years of experience in data science, software engineering, and AI engineering, with significant experience deploying production systems.
Proven track record of building production AI systems used at scale.
Deep expertise in predictive modeling, including time series forecasting and customer churn modeling.
Advanced proficiency in Python and strong experience with ML/AI frameworks and system design.
Hands-on experience with LLMs, including prompt engineering, fine-tuning, and evaluation techniques.
Strong experience with cloud platforms (preferably AWS), distributed systems, and MLOps practices.
Experience working with financial data and compliance-aware modeling.
Strong software engineering foundation, including API development, containerization (Docker/Kubernetes), and CI/CD pipelines.
What Sets You Apart
Expertise in building production agentic AI frameworks, including multi-agent orchestration, tool-using agents, and autonomous workflows.
Experience building RAG-based systems, vector databases, and semantic search architectures.
Demonstrated ability to lead large-scale AI initiatives and influence technical strategy.
Deep understanding of responsible AI practices, including model alignment, guardrails, and bias mitigation.
Exceptional communication skills, with the ability to translate complex technical concepts into business value.
Track record of mentoring and elevating technical teams in high-impact environments.
Compensation:
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.
$193,600.00 - $340,600.00Benefits:
Medical, Dental, and Vision Insurance.
Telehealth coverage
Flexible work schedules and work from home opportunities
Development and career growth opportunities
Open Time Off in addition to 10 paid holidays
401(k) matching program
Adoption Assistance
Fertility treatments
Click here to view a summary overview of our Benefits.
Working at Genesys
- AI at enterprise scale- Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+new AI features were released in the last fiscal year.
- A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
- Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.
- Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
- Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.
Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
What Happens After You Apply
After you apply, here's what you can typically expect:
- Our Talent Acquisition team reviews your application with the hiring team.
- A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
- Next, you'll meet the hiring manager and other members of the interview team.
- We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.
- After interviews are complete, our team will follow up with the final steps.
Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
Stay Connected
Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
Get notified about relevant opportunities.
Be the one building what's next - where AI, experience and impact come together.
Employee Referral
If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
About Genesys:
Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visitwww.genesys.com.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression,marital status, domestic partner status,national origin, genetics, disability,military andveteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
About Genesys
Sourced by ZipRecruiter
Industry
Software development
Company size
5,001 - 10,000 Employees
Headquarters location
Menlo Park, CA, US
Year founded
1990