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Scientist Python Jobs in Georgia (NOW HIRING)

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 ...

This role bridges actuarial science, solution development, and advanced data engineering, ensuring ... Develop solutions using Python in a cloud-based ecosystem. * Actuarial Data Support: Collaborate ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical ...

Data Scientist II Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID Duration: 1 Year ... Develop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib ...

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note ... Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with ...

They are seeking a Staff Python Engineer to provide technical leadership in ad delivery and revenue ... in Computer Science or a related field, or equivalent industry experience. • Must have legal ...

Develop and maintain algorithms, scripts, and microservices (Python, R, Julia, SQL) to automate ... Employ geospatial scientific principles and GIS tools to integrate locationbased data and models ...

Develop and maintain algorithms, scripts, and micro‑services (Python, R, Julia, SQL) to automate ... Employ geospatial scientific principles and GIS tools to integrate location‑based data and models ...

Develop and maintain algorithms, scripts, and micro-services (Python, R, Julia, SQL) to automate ... Employ geospatial scientific principles and GIS tools to integrate location-based data and models ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... Python, SQL, and distributed computing frameworks. • Conduct exploratory data analysis to ...

Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

Build tabular, SQL, and scripted analytic workflows (Python, R, Julia) to surface unique insights * Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ...

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Scientist Python information

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What cities in Georgia are hiring for Scientist Python jobs? Cities in Georgia with the most Scientist Python job openings:

Full-time

Posted 26 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.