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Relocation Package Data Science Jobs in Georgia (NOW HIRING)

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$85K - $105K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Prescient Edge

SME- Data Scientist

Augusta, GA · On-site

To that end, we provide employees with a best-in-class benefits package that includes: * A ... Demonstrated experience and proficiency with data science techniques including (but not limited to ...

United Airlines

Data Scientist

Atlanta, GA · On-site

$70K - $120K/yr

... Science, or related field. 3-5+ years of experience in AI, Machine Learning, Application ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Jobsultant Solutions

Data Analyst

Atlanta, GA

Industry experience in predictive modeling, data science and analysis. Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms ...

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Relocation Package Data Science information

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a data scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Georgia? For Relocation Package Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Georgia look for? The top searched job categories for Relocation Package Data Science jobs in Georgia are:
What cities in Georgia are hiring for Relocation Package Data Science jobs? Cities in Georgia with the most Relocation Package Data Science job openings:
Relocation Package Data Science jobs near you

Data Scientist with Banking & Finance Experience

Cortex consultants LLC

Atlanta, GA • On-site

Contractor

Re-posted 27 days ago

Job description

Title: Data Scientist with Banking & Finance Experience
Location: Atlanta, GA
Work Mode: Hybrid ( 3 days from office) (T, W, T)
Over all Years of experience: Min 12+Years
Must have:
  • Python
  • Jupyter
  • TensorFlow
  • Keras
  • ScikitLearn
Experience needed
  • BS degree in a STEM major or equivalent discipline
  • 7-8 years of experience in a related analytical role
  • Overall 12+ Years of experience
  • Proven track record of designing and developing predictive models in real-world applications, preferably Banking and Finance domain
  • Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Good to have experience
  • Cloud certification strongly preferred
  • Additional role-based certifications may be required depending upon region/BU requirement
  • Passion for data science, data mining, machine learning and experience with big data architectures and methods
  • Past Experience in SAS or Operations Research models
Roles and Responsibility
  • Entity Resolution and Innovation, manipulate large data sets,
  • Integrate diverse data sources, data types and data structures into solutions under management guidance.
  • Analytical approaches to meet business requirements and
  • explore integrating AI methodologies within Entity Resolution System, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
  • Qualification
  • Proven track record of designing and developing predictive models in real-world applications
  • Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
  • Additional role-based certifications may be required depending upon region/BU requirements
  • Passion for data science, data mining, machine learning and experience with big data architectures and methods
  • A master's degree in a quantitative field (Statistics, Mathematics, Economics)
Responsibilities
  • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
  • Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise
  • Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities
  • Lead the development or projects with multiple deliverables, leveraging business and technical expertise
  • Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
  • Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
  • Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
  • Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy