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Junior Data Scientist Relocation Jobs in Georgia

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts. Essential Duties & Responsibilities * Fully support, configure, maintain, and upgrade networks ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Mentor junior data scientists and analysts * Contribute to best practices and data science ... methodologies * Stay current with emerging tools, technologies, and industry trends Required ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

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 ...

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... junior data scientists and contribute to the growth and development of the data science team. • Communicate complex technical concepts and findings to non-technical stakeholders through clear and ...

Munich Re

Actuarial Data Scientist (FCAS)

Athens, GA · On-site +1

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required. * Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and ...

TriNet Group, Inc.

Senior Data Scientist

Atlanta, GA · On-site

$125 - $150/hr

Provide guidance, coaching, and knowledge sharing to junior data scientists and analysts ... All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and ...

TriNet

Senior Data Scientist

Dunwoody, GA

Provide guidance, coaching, and knowledge sharing to junior data scientists and analysts ... All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and ...

TriNet

Senior Data Scientist

Dunwoody, GA · On-site

Provide guidance, coaching, and knowledge sharing to junior data scientists and analysts ... All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and ...

TriNet

Senior Data Scientist

Atlanta, GA · On-site

Mentorship & Team Contribution Provide guidance, coaching, and knowledge sharing to junior data ... and consider relocation to Atlanta and may be considered for remote hire at the company ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation, collaboration, and continuous learning. * Provide technical leadership and guidance on analytical ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation, collaboration, and continuous learning. * Provide technical leadership and guidance on analytical ...

LexisNexis Risk Solutions

Data Scientist

Alpharetta, GA · On-site

$125 - $150/hr

Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to ...

RELX

Data Scientist

Alpharetta, GA · On-site

Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to ...

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Junior Data Scientist Relocation information

What is a junior data scientist relocation?

Junior Data Scientist relocation jobs are entry-level positions in data science that specifically offer or require candidates to move to a new city, state, or country for employment. These roles typically involve assisting with data analysis, building machine learning models, and supporting senior data scientists, while providing support such as relocation packages or visa sponsorship to help with the move. Relocation opportunities are common in global tech companies and organizations with multiple offices, and they can provide valuable experience and exposure to new working environments.

What are some common challenges faced by junior data scientists when relocating for a new role?

Junior data scientists relocating for a new role often face challenges such as adapting to a new organizational culture, understanding unfamiliar data systems, and building relationships with new colleagues. Additionally, adjusting to a new city or country can add a layer of complexity, including finding suitable housing and managing logistics. However, many companies offer onboarding programs, mentorship, and relocation assistance to help ease this transition, enabling new hires to quickly become productive members of the team.

What are the key skills and qualifications needed to thrive as a junior data scientist, and why are they important?

To thrive as a Junior Data Scientist, you need strong analytical skills, a solid understanding of statistics and machine learning, and a relevant degree in fields such as computer science, mathematics, or statistics. Familiarity with programming languages like Python or R, experience using data visualization tools, and knowledge of SQL databases are typically required. Effective communication, problem-solving abilities, and a willingness to learn make candidates stand out in this role. These competencies are vital for extracting insights from data, collaborating with teams, and driving data-driven decision-making in organizations.

What is the difference between Junior Data Scientist Relocation vs Junior Data Analyst?

AspectJunior Data Scientist RelocationJunior Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer certifications like Microsoft Certified Data AnalystBachelor's in related fields; certifications are optional
Work EnvironmentTech companies, research labs, or consulting firms; often collaborative and project-basedBusiness, finance, or marketing departments; often in office settings
Employer & Industry UsageUsed across tech, finance, healthcare, and consulting industriesCommon in retail, finance, healthcare, and marketing sectors

Junior Data Scientist Relocation roles focus on developing predictive models and advanced analytics, requiring stronger technical skills. Junior Data Analysts primarily handle data collection, cleaning, and basic reporting. While both roles involve working with data, the Data Scientist position emphasizes statistical modeling and machine learning, whereas the Data Analyst role centers on descriptive analytics and reporting. The choice depends on your technical expertise and career goals.

What are popular job titles related to Junior Data Scientist Relocation jobs in Georgia?

For Junior Data Scientist Relocation jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Junior Data Scientist Relocation jobs in Georgia look for?

The top searched job categories for Junior Data Scientist Relocation jobs in Georgia are:

What cities in Georgia are hiring for Junior Data Scientist Relocation jobs?

Cities in Georgia with the most Junior Data Scientist Relocation job openings:

Junior Data Scientist Relocation jobs near you

Data Scientist

nLeague Services Inc

Atlanta, GA • On-site

Contractor

Re-posted 14 days ago

Job description

Job ID: 65041
Data Scientist
Client: City of Atlanta- Aviation
Duration: 
Location: 6000 N. Terminal Pkwy, Atlanta, GA 30320
Onsite
 
General Description and Classification Standards 
The Data Scientist is responsible for maintaining and enhancing the organization's data infrastructure, creating advanced analytics solutions, and leveraging machine learning to improve decision-making and business efficiency. You will oversee the deployment, configuration, and continuous improvement of data models and infrastructure, ensuring robust performance and data security. In this role, you will work collaboratively with cross-functional teams to achieve organizational goals, offering innovative data-driven insights and solutions.
Supervision Received 
Works under minimal supervision. May work independently with responsibility for specific functions or programs. Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts.
Essential Duties & Responsibilities 
  • Fully support, configure, maintain, and upgrade networks and servers at the Department of Aviation
  • Model Development and Optimization: Design, build, and refine predictive models and algorithms to enhance decision-making and drive business value.
  • Data Infrastructure Management: Maintain and optimize data pipelines, ensuring data integrity, security, and performance across the organization.
  • Data Strategy & Research: Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives.
  • Advanced Analytics & Insights: Provide deep analytical insights to solve complex business problems using statistical models, machine learning, and artificial intelligence.
  • Collaboration: Work with stakeholders across various departments (e.g., marketing, finance, operations) to understand data needs and deliver tailored analytics solutions.
  • Network & System Optimization: Ensure the organization’s data systems and models are operating at optimal levels, performing regular updates and improvements.
  • Performance Monitoring: Oversee the monitoring of data model performance, ensuring accuracy, scalability, and stability.
  • Technical Documentation: Write and maintain comprehensive documentation for all data science projects, including system architecture, model performance, and experiment results.
  • Customer-Focused Approach: Deliver clear, actionable insights to non-technical stakeholders, supporting business units in leveraging data for enhanced decision-making.
  • Mentorship: Act as a technical resource and mentor for junior data scientists and data analysts, guiding them in best practices, troubleshooting, and project execution.
Essential Duties & Responsibilities 
Support:
·    Respond to and resolve complex data-related issues, collaborating with IT support teams as necessary.
·    Ensure compliance with data governance and security standards.
·    Provide recommendations for improving data infrastructure and processes to increase business efficiency.
·    Deliver ongoing support for mission-critical business functions through data-driven strategies.
·    Develop and maintain data recovery and contingency plans in case of system failure or other disruptions.
Decision Making 
  • Selects from multiple procedures and methods to accomplish tasks. Follows standardized procedures and written instructions to accomplish assigned tasks.
  • Selects appropriate data science methodologies and tools to achieve business goals.
  • Exercises judgment in balancing short-term project deliverables with long-term data strategy.
  • Influences business decisions by providing actionable insights based on thorough data analysis.
Leadership Provided
  • Serves as a technical resource or mentor to other employees. May lead or instruct less experienced workers in high level or technical jobs.
  • Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team members.
  • Contributes to the strategic direction of the data science function within the organization.
  • Presents insights and findings to upper management, recommending improvements to data strategy and network infrastructure.
Knowledge, Skills & Abilities 
  • Technical Expertise: Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics. Proficient in Python, R, SQL, and common machine learning frameworks (e.g., TensorFlow, Scikit-learn).
  • Data Infrastructure: Strong experience working with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Problem-Solving: Ability to design and implement innovative solutions to complex problems, leveraging data to drive business improvements.
  • Communication: Excellent oral and written communication skills with the ability to explain complex technical concepts to non-technical audiences.
  • Collaboration: Proven ability to work across departments and manage multiple projects or tasks concurrently.
  • Leadership: Experience leading and mentoring teams, guiding them toward achieving technical excellence.
  • Security and Compliance: Familiarity with data security best practices, ensuring compliance with industry standards.
Non-Technical Skills
  • Project Management: Capable of managing multiple projects simultaneously while meeting deadlines and maintaining high standards of quality.
  • Self-Motivation: Uses initiative and independent judgment to undertake activities with minimal supervision.
  • Adaptability: Responds constructively to new information, changing conditions, and unexpected challenges.
  • Customer Service: Focuses on delivering value-driven, responsive solutions to both internal and external stakeholders.
 
Qualifications:
 Minimum Qualifications
Education and Experience 
  • Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field equivalent professional experience may be considered.
  • Experience: 5+ years of experience in data science, data engineering, or related fields with hands-on experience in deploying machine learning models.
Preferred Education & Experience
  • Master’s or PhD in Data Science, Machine Learning, Computer Science, or a related field.
  • Experience in leading data science teams or large-scale projects within an enterprise setting.
  • Experience with Databricks, including designing, deploying, and optimizing machine learning models in the Databricks environment.
  • Expertise in cloud platforms, especially Azure and AWS, including experience with data storage, model deployment, and scaling cloud-based solutions.
  • Experience with Environmental Systems Research Institute (ESRI) and geographic information system (GIS) analytics, with a focus on spatial data analysis and location-based insights.
  • Strong background in Azure Data Services (e.g., Azure Data Lake, Azure Machine Learning) and AWS Machine Learning Services (e.g., SageMaker, Redshift, Lambda)..
Certifications
Relevant certifications in machine learning, data science, cloud computing, or network administration (e.g., AWS Certified Data Analytics, DataBricks, Microsoft Azure Data Scientist Associate) are highly desirable