1

Intern Data Scientist Machine Learning Jobs in Georgia

Design and implement predictive models and machine learning algorithms to solve business problems ... Big data ecosystems (Hadoop). Required Qualifications: * 8+ years of experience in data science.

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. They will lead ...

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. They will lead ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... This role requires advanced analytics, machine learning expertise, and strong problem-solving ...

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal ... Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics.

Job Duties & Responsibilities • Apply machine learning algorithms and statistical models to large ... Data Science. • PhD preferred. • Minimum of 1 year of experience applying machine learning ...

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... Data Science. · PhD preferred. · Minimum of 1 year of experience applying machine learning ...

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... Data Science. · PhD preferred. · Minimum of 1 year of experience applying machine learning ...

Discovery-serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI. This role is designed for an elite practitioner with 15-18+ years of experience, including 10 ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Development of machine learning models and other analytics following established workflows, while ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Development of machine learning models and other analytics following established workflows, while ...

As a Principal Data Scientist, you will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and advanced AI technology. You will spearhead high-impact ...

Data Scientist Location: Atlanta, GA 30334 Client: State of Georgia Duration: 12+ Months We are ... Develop and deploy machine learning models for fraud detection. * Collaborate with engineering and ...

We are looking for a data scientist that will help us discover the information hidden in vast ... Selecting features, building and optimizing classifiers using machine learning techniques * Data ...

Selecting features, building and optimizing classifiers using machine learning techniques * Data ... Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at ...

next page

Showing results 1-20

Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an Intern Data Scientist specializing in Machine Learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an Intern Data Scientist (Machine Learning), and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an Intern Data Scientist in Machine Learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

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

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Georgia? The most popular types of Data Scientist Machine Learning jobs in Georgia are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Georgia? For Intern Data Scientist Machine Learning jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Intern Data Scientist Machine Learning jobs? Cities in Georgia with the most Intern Data Scientist Machine Learning job openings:

Full-time

Posted 14 days ago


Job description

Job Summary:
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and machine learning techniques.
Key Responsibilities:
  • Design and implement predictive models and machine learning algorithms to solve business problems.
  • Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
  • Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.
  • Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.
  • Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib.
  • Communicate insights through compelling data storytelling for diverse stakeholders.
  • Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Technical Skills:
  • Python programming language.
  • SQL programming language.
  • R programming language.
  • Skywise Palantir.
  • Domo.
  • SAS.
  • Web development languages.
  • Cloud platforms (AWS, Azure).
  • Big data ecosystems (Hadoop).

Required Qualifications:
  • 8+ years of experience in data science.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.

Preferred Qualifications:
  • Experience with advanced analytics and big data tools.
  • Familiarity with NLP, deep learning frameworks, and modern visualization libraries.
  • Strong problem-solving and communication skills.