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Relocation Package Data Science Jobs in Delaware

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow ...

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

Test new statistical tools and packages. The ideal candidate will have the following: * Master's Degree in Data Science, Statistics, Applied Mathematics, or related field required. * Expert knowledge ...

Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize ... We offer a competitive total rewards package including base salary determined based on the role ...

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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 Delaware?

For Relocation Package Data Science jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Relocation Package Data Science jobs in Delaware look for?

The top searched job categories for Relocation Package Data Science jobs in Delaware are:

What cities in Delaware are hiring for Relocation Package Data Science jobs?

Cities in Delaware with the most Relocation Package Data Science job openings:

Manager, Data Science

OneMain Financial

Wilmington, DE • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


OneMain Financial rating

7.4

Company rating: 7.4 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

119th of 151 rated financial services


Job description

Manager, Data Science

Location: Wilmington, DE (Hybrid)

We are seeking a Manager to join our Data Science team in Wilmington, DE. This is an exciting opportunity to develop and manage an integrative set of models across a diverse portfolio.These models include but are not limited to risk models, direct mail response models, portfolio risk models, line management models, collection models, and others.

Working with various partners, the role will also have responsibilities for model monitoring, customer segmentation, competitive analysis, and input into strategy. A successful candidate will expand competencies and grow business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will also gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry.

The Role

  • Research and develop new modeling techniques that will keep OneMain at the forefront of the industry
  • Work with non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, social media and digital data to improve model performance
  • Lead innovative solutions to gain more value from credit bureau tradeline data
  • Develop creative technical solutions to improve the company's decision making, the customer's experience, and shareholder return
  • Lead a team to conduct statistical analysis and develop profit-driven decision framework and risk strategies within risk appetite with full credit cycle view to drive healthy growth
  • Partner with other leaders to define business priorities, align talent and resources and communicate progress to executive management
  • Understand the data environment to appropriately prioritize and set expectations for key reporting, modeling, and analytical priorities
  • Leverage traditional regression models and machine learning algorithms to understand the key drivers and estimate customer behaviors
  • Effectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectations

Qualifications

  • Master's Degree in a quantitative discipline (Engineering, Statistics, Economics, Business Management or Computer Science)
  • 4+ years of model development experience in a large institution preferred; PHD degrees may offset experience.
  • Knowledge of modeling techniques and methods such as decision trees, neural networks, XGBoost, and complex regressions preferred
  • Superior communication skills with the comfort to interface with all levels of management
  • Proven experience working with teams of diverse individuals focused on several disparate projects simultaneously
  • Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow, Pyspark)
  • Innovative and capable of developing creative solutions to complex, data-driven problems

Who We Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances

  • Up to 4% matching 401(k)

  • Employee Stock Purchase Plan (10% share discount)

  • Tuition reimbursement

  • Paid time off (15 days' vacation per year, plus 2 personal days, prorated based on start date)

  • Paid sick leave as determined by state or local ordinance, prorated based on start date

  • Paid holidays (7 days per year, based on start date)

  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.


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