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Data Scientist

Job in Township of Waverly, Michigan, USA
Listing for: Waverly
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Township of Waverly

Bachelor’s degree in Computer Science , Software Engineering or Mathematics

Job Description

We are looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to p roduce actionable insights and compelling visualizations, define data requirements, while identifying and mitigating risks and governing AI applications.

Department

Engineering – Software & QA

Skills Required

Data Science, AI, ML

Key Responsibilities:
  • Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs.
  • Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems.
  • Analyze Data:
    Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality.
  • Evaluation and Optimization:
    Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements.
  • Documentation and Reporting:
    Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders.
Qualifications:
  • Experience with Open Source LLM and Langchain Framework and and designing efficient prompt for LLMs.
  • Proven ability with NLP and text-based extraction techniques.
  • Experience in Generative AI technologies, such as diffusion and/or language models.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud. environment.
  • Experience with common data science toolkits, such as Num Py, Pandas etc.
  • Proficiency in using query languages such as SQL.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience working with large data sets along with data modeling , language development, and database technologies.
  • Knowledge in Machine Learning and Deep Learning frameworks (e.g., Tensor Flow, Keras , Scikit-Learn, CNTK, or PyTorch ), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.
  • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.
  • Excellent verbal and written communication skills

If you are passionate about data scientist and want to contribute to an innovative and dynamic team, we encourage you to apply!

Apply Now

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We’d love to hear from you! Whether you’re interested in learning more about our AI solutions, exploring partnership opportunities or joining our team, feel free to reach out.

  • 5700 Stoneridge Mall Road, #370 Pleasanton, CA 94588
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