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Junior Data Scientist Relocation Jobs in Georgia

RELX Group plc

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 ...

Patientco

Senior Data Scientist

Atlanta, GA

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

Munich Re

Data Scientist

Atlanta, GA · On-site +1

Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry ...

Coca-Cola

Principle Data Scientist

Atlanta, GA

Mentor, guide, and develop junior/aspiring data scientists across the organization. Qualifications ... Atlanta Travel Required: 00% - 25% Relocation Provided: Yes Job Posting End Date: August 29, 2026 ...

ARC Group

Sr. Data Scientist

Atlanta, GA

This is NOT a junior position nor a developer role , it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions ...

Home Depot

Principal Data Scientist - CX

Atlanta, GA · On-site

The Principal Data Scientist is responsible for leading high-impact data science and AI initiatives ... Provide mentoring and coaching to more junior roles to support their technical competencies;

Home Depot

Data Scientist - Supply Chain

Atlanta, GA · On-site +1

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... Provide mentoring and coaching to more junior roles to support their technical competencies;

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... Provide mentoring and coaching to more junior roles to support their technical competencies;

Home Depot

Lead Data Scientist

Atlanta, GA · On-site

Provide mentoring and coaching to more junior roles to support their technical competencies ... Lead data science communities across several business units * 20% Business Collaboration - Leverage ...

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All JobsData Scientist Relocation JobsJunior Data Scientist Relocation JobsJunior Data Scientist Relocation Jobs in Georgia

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

RELX Group plc

Alpharetta, GA • On-site

Full-time

Re-posted 18 days ago

Job description

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact?
Do you enjoy solving complex analytical challenges, working with large-scale data, and helping teams deliver innovative solutions in a collaborative environment?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below.
https://risk.lexisnexis.com/insurance
About our Team
We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating Analytics team. This individual will play a key role in new product innovation, model development, generating actionable insights, and working closely with the Vertical and Product teams to design and implement new solutions that are cutting edge and support the insurance market.
About the Role
A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. 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 execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.
Responsibilities:
  • Developing, analyzing, and modeling operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
  • Analyzing organizational data to recommend solutions to new and complex problems, developing innovative strategies, quantifying the competitive performance of the organization's operations and/or markets; modeling and evaluating the potential impact of changes
  • Applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources
  • Functional Knowledge: Conceptual and practical expertise in own area required
  • Business Expertise: Has knowledge of best practices and how subject matter expertise integrates with others; is aware of the competition and the factors that differentiate the company in the market
  • Leadership: Occasionally leads the work of small project teams; provides informal guidance to junior staff
  • Problem Solving: Typically resolves problems using existing solutions
  • Impact: Works with minimal guidance
  • Interpersonal Skills: Explains difficult or sensitive information, models auto insurance risk, particularly in the context of credit-based data sources, generally using GLM techniques
  • Supports existing models
  • Python experience required
  • Cloud experience preferred
  • Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies
  • Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets; models and evaluates the potential impact of changes
  • Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources

Requirements:
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience); Master's/Ph.D. degree preferred. Actuarial experience/certification also preferred.
  • 3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably in applications using credit data for insurance or financial services
  • Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software
  • Experience manipulating and merging multiple large data sets in a distributed computing environment
  • Solid understanding of ML techniques, including hypothesis testing, sample design, model development (linear and non-linear models), validation of machine learning models
  • Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages (pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala
  • Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams

Risk benefit statement
Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000
U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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