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Freelance Data Scientist Machine Learning Jobs in Indiana

Position Summary Our ideal candidate will spend most of the time developing machine learning models ... As a Data Scientist at A uthenticx , your responsibilities will include: * Utilizing Python, SQL ...

Position Summary Our ideal candidate will spend most of the time developing machine learning models ... As a Data Scientist at A uthenticx , your responsibilities will include: * Utilizing Python, SQL ...

Databricks Data Scientist Location: Indianapolis, IN - onsite Duration: 6 months Desirable Skills ... Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python)

The Data Scientist works closely with Retail Technology, Media and Account Services teams to ... Develop and maintain continuous integration and delivery pipelines for machine learning models ...

You will apply data science, machine learning, and AI techniques to solve real business problems - from building agents to automate manual regulatory workflows and optimizing clinical trial processes ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Qualifications and Requirements * 5+ years of professional experience in Data Science, Machine Learning, or Applied ML roles. * Demonstrated experience operating as the sole or lead Data Scientist on ...

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Freelance Data Scientist Machine Learning information

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

AspectFreelance Data Scientist Machine LearningFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Tools & TechnologiesTensorFlow, scikit-learn, Jupyter, cloud platformsExcel, Tableau, SQL
Work EnvironmentProject-based, consulting, remote or client sitesRemote, freelance consulting, client reports
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Freelance Data Scientist Machine Learning professionals focus on developing predictive models and algorithms using advanced techniques, often requiring programming and statistical expertise. Freelance Data Analysts handle data interpretation, visualization, and reporting, typically with less technical complexity. Both roles are in high demand but differ in skill level, tools, and project scope.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Indiana? The most popular types of Data Scientist Machine Learning jobs in Indiana are:
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What cities in Indiana are hiring for Freelance Data Scientist Machine Learning jobs? Cities in Indiana with the most Freelance Data Scientist Machine Learning job openings:

Data Scientist - Machine learning

Vir Healthway

Zionsville, IN • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Responsibilities:
  • Partner with R&D scientists to develop and prototype rigorous machine learning solutions aligned to project needs
  • Design and implement scalable data pipelines for processing high-complexity datasets such as high-throughput bioassays or large-scale agriculture datasets
  • Partner with data scientists, data engineers, and production teams to deploy and maintain data products at scale
  • Communicate and train research partners on models and products to facilitate data-driven decisions
  • Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed
  • Steward data product life cycle and partner with other scientists to continuously improve underlying models and optimize data architecture
  • Stay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficial
Educational Qualifications
M.S. or above in Applied Statistics, Artificial Intelligence, Biostatistics, Computer Science, Data Engineering, Data Science, Engineering, Machine Learning, Physics, Software Engineering, or related highly quantitative fields. Ph.D or additional years of experience preferred but not required.
Required Qualifications
  • Strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization
  • Experience and fundamental understanding of machine learning techniques (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, neural networks)
  • Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
  • Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git)
  • Ability to work both independently and within a multidisciplinary team environment to provide innovative solutions
  • Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
  • Strong critical thinking and problem-solving skills, flexibility, and willingness to learn
Preferred Qualifications:
  • Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture
  • Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction
  • Familiarity with artificial intelligence or generative AI techniques
  • Experience in big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL)
  • Experience with AWS

Experience consulting on scientific projects or working within a scientific team