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Evening Data Scientist Machine Learning Jobs in Michigan

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... Applies machine learning algorithms and predictive models to solve complex business challenges.

You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move ... machine learning pipelines, including data ingestion, preprocessing, training, validation ...

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ...

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

The Data Scientist will support this effort by developing practical, scalable analytics, machine learning, and AI-enabled solutions that improve decision-making, strengthen reporting accuracy, and ...

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Strong grasp of machine learning algorithms like: * Regression (linear, logistic) * Causal ...

Accelerate the application of value-added analytics and machine learning into the portfolio of products for CEA. * Drive analytic excellence into product teams by collaborating with Data Scientists ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Showing results 21-40

Evening Data Scientist Machine Learning information

What is the difference between Evening Data Scientist Machine Learning vs Evening Data Analyst?

AspectEvening Data Scientist Machine LearningEvening Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of machine learning frameworksBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in data visualization tools
Work EnvironmentResearch-focused, developing models, programming in Python/R, working with large datasetsData reporting, cleaning, visualization, and basic statistical analysis
Employer & Industry UsageTech companies, finance, healthcare, research institutionsBusiness, marketing, retail, finance sectors

While both roles involve working with data in the evening, Evening Data Scientist Machine Learning focuses on developing predictive models and advanced algorithms, requiring programming and machine learning expertise. In contrast, Evening Data Analyst emphasizes data interpretation, reporting, and visualization, often with less emphasis on complex modeling. The roles differ mainly in technical depth and scope but share a common goal of deriving insights from data during evening hours.

Full-time

Medical, Dental

Re-posted 29 days ago


Job description

Job Title:
Data Scientist
Number of Positions:
1
Location:
Okemos, MI
Location Specifics:
Hybrid Position
Job Summary:
At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.
At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.
Position Description:
To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.
Primary Job Responsibilities:
  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.
#LI-Hybrid
Minimum Requirements:
Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.
Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.