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Python Junior Jobs in Georgia (NOW HIRING)

... Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical ... Provide guidance and mentorship to junior data scientists and analysts, fostering their ...

Key Skills: - LLM - NLP - GenAI - RAG - Python Summary We are seeking a highly skilled and ... junior data scientists and contribute to the growth and development of the data science team. • ...

Develop and maintain advanced automation scripts using BASH, Perl, JavaScript, or Python. * Perform ... Lead and mentor junior team members. * Troubleshoot and resolve LAN/WAN connectivity and ...

... or Python. • Perform administration and O&M tasks from the command line. • Manage task ... Lead and mentor junior team members. • Troubleshoot and resolve LAN/WAN connectivity and ...

Create compelling visualizations using tools like Tableau , Power BI , and Python libraries (e.g ... Provide guidance and mentorship to junior data scientists and analysts to support team development ...

Principal Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Create and maintain automated test suites in Python and SQL for data validation and quality checks ... Mentor junior engineers on testing strategies, SQL best practices, and BI tool utilization.

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Work well independently and as part of a team, mentoring junior engineers in routine, less-complex ... Python, Scala, or Java * 5+ years of experience with SQL. * 5+ years of experience with big data ...

... junior data scientists, and drive Neptune's AI transformation initiatives. This role provides ... Work with Python, SQL, PySpark, AWS services (SageMaker, Bedrock, Lambda, Redshift), and ML ...

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Python Junior information

See Georgia salary details

$20.3K

$75.1K

$116.1K

How much do python junior jobs pay per year?

As of Jul 9, 2026, the average yearly pay for python junior in Georgia is $75,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $73,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Python Junior developers during their first year on the job?

Python Junior developers often encounter challenges such as understanding large codebases, managing version control with tools like Git, and adapting to team workflows. They may also need to improve their debugging skills and learn to write clean, maintainable code that meets team standards. Regular communication with senior developers and proactively seeking feedback can help overcome these hurdles and accelerate professional growth.

What is the difference between Python Junior vs Python Developer?

AspectPython JuniorPython Developer
Required CredentialsBasic programming knowledge, often a diploma or bootcampMore experience, often a degree in CS or related field
Work EnvironmentEntry-level projects, supervised tasksFull project responsibilities, collaborative teams
Industry UsageInternships, junior roles in tech companiesMid-level roles across industries like finance, tech, healthcare

The main difference between a Python Junior and a Python Developer lies in experience and responsibilities. Python Juniors typically have basic skills and work under supervision, while Python Developers handle more complex tasks independently. Employers seek Python Juniors for entry-level positions, with opportunities to grow into full Python Developers as skills develop.

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

To thrive as a Python Junior, you need a good grasp of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or a related field. Familiarity with version control systems like Git, code editors (e.g., VS Code), and basic understanding of frameworks such as Django or Flask is often expected. Strong communication, willingness to learn, and teamwork are important soft skills that set candidates apart. These skills and qualities are essential for effectively contributing to projects, collaborating with team members, and growing within a technical environment.

What are Python Juniors?

Python Juniors are entry-level software developers who specialize in using the Python programming language. They typically have foundational knowledge of Python and basic software development principles, and may work on tasks such as writing simple scripts, debugging code, or supporting more experienced developers on larger projects. Python Juniors are often recent graduates or individuals transitioning into software development, and their role offers opportunities to learn and grow their skills in real-world settings.
What are the most commonly searched types of Python jobs in Georgia? The most popular types of Python jobs in Georgia are:
What job categories do people searching Python Junior jobs in Georgia look for? The top searched job categories for Python Junior jobs in Georgia are:
What cities in Georgia are hiring for Python Junior jobs? Cities in Georgia with the most Python Junior job openings:
DATA SCIENTIST

DATA SCIENTIST

4P Consulting Inc.

Forest Park, GA

Contractor

Re-posted 16 days ago


Job description

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

  • A Data Scientist with 5 to 10 years of
    experience is responsible for leveraging
    data to uncover insights, create predictive
    models, and drive data-driven decision-
    making within an organization.
  • This role
    involves advanced analytics, machine
    learning, and strong problem-solving skills
    to extract actionable information from
    large datasets. Key Responsibilities: Data
    Analysis: Collect, clean, and analyze
    complex datasets to identify trends,
    patterns, and actionable insights.
  • Use
    statistical techniques to uncover
    meaningful information from data.
    Predictive Modeling: Develop and deploy
    machine learning models to predict future
    trends, behaviors, and outcomes. Apply
    regression analysis, clustering,
    classification, and other modeling
    techniques.
  • Data Visualization: Create
    compelling data visualizations to
    communicate findings effectively to both
    technical and non-technical stakeholders
    using tools like Tableau, Power BI, or
    Python libraries. Hypothesis Testing:
    Formulate and test hypotheses, providing
    statistical validation for business
    decisions and recommendations.
  • Feature
    Engineering: Engineer and select relevant
    features for machine learning models,
  • enhancing their predictive power.
    Algorithm Development: Build and fine-
    tune machine learning algorithms, such
    as decision trees, random forests, neural
    networks, and more, depending on the
    specific problem.
  • Data Integration:
    Collaborate with IT and database
    administrators to integrate and access
    data from various sources and data
    warehouses. Model Deployment: Deploy
    machine learning models in production
    environments to support real-time
    decision-making. A/B Testing: Design and
    analyze A/B tests to measure the impact
    of changes and improvements. Data
    Ethics:
  • Ensure ethical data practices,
    including privacy and compliance with
    data protection regulations. Cross-
    functional Collaboration: Collaborate with
    cross-functional teams, including
    engineers, business analysts, and domain
    experts, to understand business
    requirements and align data science
    initiatives with organizational goals.
    Mentorship:
  • Provide guidance and
    mentorship to junior data scientists and
    analysts, fostering their professional
    growth. Continuous Learning: Stay
    updated on the latest data science tools,
    techniques, and trends through ongoing
    professional development. Qualifications:
    Bachelors degree in a quantitative field
    (e.g., Computer Science, Statistics,
    Mathematics, Engineering); a Masters or
    Ph.D. is a plus.
  • 5 to 10 years of experience
    in data science, including machine
    learning and statistical analysis.
    Proficiency in data analysis tools and
    programming languages such as Python,
    R, or Julia. Strong knowledge of machine
    learning algorithms and their applications.
    Experience with data visualization toolslike Tableau, Power BI, or data
    visualization libraries in Python (e.g.,
    Matplotlib, Seaborn). Solid understanding
    of databases and data manipulation using
    SQL. Excellent problem-solving and
    critical thinking skills. Strong
    communication skills to convey complex
    findings and insights to both technical and
    non-technical stakeholders. Familiarity
    with big data technologies and distributed
    computing frameworks is a plus (e.g.,
    Hadoop, Spark). Knowledge of data
    ethics, privacy, and compliance
    considerations.
  • A Data Scientist with 5 to
    10 years of experience is a critical asset to
    an organization, capable of transforming
    data into actionable insights, building
    predictive models, and driving data-driven
    decision-making. This role requires a
    strong foundation in data science
    techniques, programming, and advanced
    analytics, as well as the ability to
    collaborate with various teams and
    mentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj.Mishra@4pconsultinginc.com

+1 205-756-4834