Experian is hiring for an entry level Data Scientist role in US

Position:

• Title: Data Scientist

• Department: Data Science and Machine Learning

• Employer: Consumerinfo.com, Inc. (an Experian company)

Company:

• Name: Experian

• Industry: Information Services, Data Analytics, and Technology

• Size: 10,001+ employees globally

• Headquarters: Dublin, Ireland

• Website: experianplc.com

Location:

• Primary Worksite: 475 Anton Blvd., Costa Mesa, CA 92626, USA

• Geographical Coverage: Role primarily based in Costa Mesa, with flexibility to collaborate across global teams.

Job Type:

• Category: Full-time

• Domain: Data Science and Machine Learning

• Functional Area: Analytics, Model Development, and Data Processing

Job Mode:

• Work Mode: Hybrid (depending on company policies)

• Work Hours: Standard business hours with flexibility for occasional extended hours when required.

Job Requisition ID:

• Requisition Number: 744000049640809

Years of Experience:

• Specific years of experience not mentioned; as per JD looks like an entry level role

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Company Description :

• Experian Overview:
  Experian is a globally recognized leader in information services, data analytics, and technology solutions. With a mission to empower individuals and businesses, Experian offers innovative solutions that redefine financial services, detect fraud, enhance healthcare efficiency, and improve marketing effectiveness. By leveraging a unique combination of data, advanced analytics, and cutting-edge software, Experian helps its clients navigate complex business challenges and identify new opportunities.

• Global Presence:
  As a FTSE 100 Index company, Experian operates across 32 countries with a strong presence in diverse industries such as financial services, healthcare, automotive, agribusiness, and insurance. Headquartered in Dublin, Ireland, Experian employs over 22,500 professionals worldwide.

• Commitment to Innovation:
  Experian continually invests in technology and talent, enabling organizations to unlock the potential of data. The company’s strategic focus on innovation ensures that its solutions evolve to meet the dynamic demands of modern industries. For more information about Experian’s mission and services, visit experianplc.com.

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Profile Overview:

• Role Summary:
  The Data Scientist role at Experian involves leveraging large-scale data sets to develop and refine machine learning (ML) algorithms aimed at solving critical business problems. The incumbent will be responsible for optimizing existing models, discovering new data sources, and creating innovative features that enhance ML models’ performance. This role also involves building end-to-end data pipelines to facilitate seamless model deployment.

• Key Responsibilities:

  • Design and implement machine learning models using vast and complex datasets.

  • Improve the efficiency and accuracy of existing algorithms.

  • Identify and incorporate new data sources to enhance ML models.

  • Develop scalable end-to-end pipelines for model deployment.

  • Collaborate with stakeholders to communicate key analytical results effectively.

• Communication and Collaboration:
  The ideal candidate will possess strong analytical and problem-solving skills, coupled with the ability to articulate complex insights to non-technical stakeholders. The role requires collaboration with cross-functional teams, ensuring seamless integration of models into production environments.

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Qualifications :

• Educational Requirements:

  • Master’s degree in Machine Learning, Data Science, Computer Science, Statistics, or a related field is mandatory.

• Required Technical Expertise:

  • Proficiency in statistical modeling techniques, including:

    • Regression models

    • Support Vector Machines (SVMs)

    • Neural Networks

  • Hands-on experience with natural language processing (NLP).

  • Expertise in deep learning algorithms, such as:

    • Convolutional Neural Networks (CNNs)

    • Recurrent Neural Networks (RNNs)

  • Strong knowledge of API development and experience working in a Linux environment.

• Programming and Analytical Skills:

  • Proficiency in programming languages such as Python, R, and SQL.

  • Hands-on experience with SparkSQL for large-scale data processing.

  • Expertise in building scalable, end-to-end machine learning solutions.

• Additional Desirable Skills:

  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

  • Experience with data visualization tools and techniques.

  • Strong problem-solving and analytical thinking abilities.

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Additional Info:

• Compensation and Benefits:

  • The pay range for this position is between $96,678.00 and $151,230.00 annually.

  • Actual compensation is determined based on work location, job-related skills, experience, and educational qualifications.

  • The role includes variable pay along with a comprehensive benefits package, which may include:

    • Health, dental, and vision insurance

    • Retirement savings plans

    • Paid time off and holidays

    • Wellness programs and employee assistance plans

• Application Process:

  • Interested candidates can apply through Experian Careers by searching for the requisition number 744000049640809.

  • Ensure that your application includes a resume and cover letter that highlight relevant experience and skills.

• Diversity and Inclusion Commitment:

  • Experian is committed to fostering an inclusive work environment where diverse perspectives thrive. The company encourages applications from candidates of all backgrounds and is an equal opportunity employer.

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Responsibilities:

• Data Modeling and Algorithm Development:

  • Develop machine learning models using large datasets.

  • Refine and optimize the performance of existing algorithms.

  • Create innovative input features to improve model accuracy.

• Model Pipeline and Deployment:

  • Design end-to-end data pipelines for model implementation.

  • Ensure seamless deployment and monitoring of models in production environments.

• Exploratory Data Analysis:

  • Conduct exploratory data analysis to identify key patterns and insights.

  • Apply data preprocessing and feature engineering techniques.

• Collaboration and Communication:

  • Work closely with cross-functional teams to understand business requirements.

  • Communicate analytical findings effectively to stakeholders.

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Required Skills:

• Machine Learning Expertise:

  • Strong knowledge of machine learning techniques and frameworks.

  • Proficiency in statistical models and deep learning algorithms.

• Programming and Scripting:

  • Advanced knowledge of Python, R, and SQL.

  • Experience working with SparkSQL for big data processing.

• API Development and System Integration:

  • Proficiency in developing APIs for model deployment.

  • Experience in Linux environments for system integration.

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Preferred Skills:

• Cloud Technologies:

  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

  • Experience with cloud-based model deployment and monitoring.

• Data Visualization and Interpretation:

  • Ability to create and interpret complex data visualizations.

  • Proficiency in using visualization tools like Tableau or Power BI.

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Ideal Candidate Profile:

• Analytical Mindset:

  • Strong problem-solving skills and analytical thinking.

  • Ability to derive actionable insights from complex data.

• Communication and Collaboration:

  • Excellent communication skills to convey technical insights to business stakeholders.

  • Ability to collaborate effectively in a team environment.

• Self-Starter and Innovator:

  • Proactive and self-motivated with a passion for innovation.

  • Eager to explore new technologies and approaches to improve model performance.

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Benefits and Perks:

• Health and Wellness:

  • Comprehensive health, dental, and vision insurance plans.

  • Wellness programs and access to mental health support.

• Career Development:

  • Opportunities for professional growth and advancement.

  • Access to training programs and certification courses.

• Work-Life Balance:

  • Flexible work arrangements with hybrid options.

  • Generous paid time off, including vacation and holidays.

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Application Instructions:

• How to Apply:

  • Visit Experian Careers.

  • Search for requisition ID 744000049640809 and submit your application.

• Required Documents:

  • Updated resume highlighting relevant skills and experience.

  • Cover letter explaining interest in the position and alignment with the role.

• Application Deadline:

  • Applications will be reviewed on a rolling basis until the position is filled.

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Equal Opportunity Statement:

• Diversity Commitment:

  • Experian is an equal opportunity employer and encourages applications from candidates of all backgrounds.

  • The company celebrates diversity and is committed to creating an inclusive work environment where employees can thrive.

• Accommodation Requests:

  • Applicants requiring accommodations during the application process should contact Experian’s HR team for assistance.

Please click here to apply.

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