Were looking for an innovative Data Scientist to join Experian Automotive and shape the future of data-driven this role youll design and implement advanced analytics solutions standardize and automate data processes and develop sophisticated statistical machine learning and forecasting models that power business intelligence and client insights. Youll craft next-generation algorithms build intuitive data visualization tools and leverage emerging technologiesincluding generative AI and advanced modeling techniquesto solve high-impact challenges. Collaborating across Finance Product Operations and Technology teams youll drive automation optimize analytical workflows and deliver actionable insights that influence strategic decisions. This is an opportunity to push boundaries transform data into intelligence and accelerate innovation across the organization.
Youll have opportunity to:
- Build and optimize scalable data ecosystems to power advanced analytics predictive modeling and intelligent decision-making.
- Lead forecasting and scenario modeling by integrating dynamic inputs validating assumptions and delivering forward-looking insights that anticipate risks and opportunities.
- Automate and streamline analytical workflows to accelerate speed-to-insight and reduce manual intervention.
- Leverage large-scale structured and unstructured data to uncover patterns generate actionable insights and develop predictive and prescriptive models.
- Design deploy and operationalize advanced machine learning solutionsincluding deep learning graph-based models and reinforcement learningto solve complex business and customer challenges.
- Enhance and maintain model development pipelines while driving proof-of-concept initiatives and rapid experimentation.
- Partner with cross-functional teams to define high-impact use cases align on priorities and embed data science solutions into strategic decision-making.
- Establish scalable data and model governance practices to ensure reliability transparency and continuous improvement.
- Utilize modern analytics and cloud platforms (e.g. Python AWS Databricks Tableau) to deliver cutting-edge solutions.
- Advance algorithmic innovation by refining data analysis techniques expanding pattern analytics and generalizing methods for broader data flow coverage.
- Develop intuitive data visualizations and interactive tools to communicate complex insights effectively and drive adoption across the organization.
Qualifications :
- Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics Engineering or a related quantitative field.
- Strong proficiency in Python and experience with machine learning frameworks such as scikit-learn XGBoost or PyTorch; familiarity with SQL and statistical tools (e.g. R SAS MATLAB) is a plus.
- Hands-on experience with generative AI tools large language models (LLMs) and advanced machine learning techniques including supervised unsupervised and time-series modeling.
- Proven ability to deploy and scale models in production using cloud platforms (AWS GCP Azure) and tools like Databricks; experience with AWS services such as S3 Redshift SageMaker EMR Kinesis Lambda and EC2 is highly desirable.
- Data Mastery: Skilled in analyzing large complex datasets and developing predictive models experimental designs and robust analytic plans to uncover insights and determine causal relationships.
- Statistical Acumen: Deep understanding of statistical modeling forecasting and performance optimization for machine learning algorithms.
- Collaboration & Communication: Ability to translate complex technical concepts into clear actionable insights for diverse stakeholders; strong interpersonal skills for cross-functional collaboration.
- Innovation & Execution: Self-motivated results-driven professional with a track record of managing projects end-to-end delivering impactful solutions and meeting deadlines in fast-paced environments.
Additional Information :
Our benefits include: Medical life and dental insurance Asociacion Solidarista International Share Save Plan Flex Work/Work from home Paid time off Annual Performance Bonus Education Reimbursement Family Bonding Bereavement Leave Referral Program and more.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
#LI-ML2 #LI-Remote
Remote Work :
Yes
Employment Type :
Full-time
Were looking for an innovative Data Scientist to join Experian Automotive and shape the future of data-driven this role youll design and implement advanced analytics solutions standardize and automate data processes and develop sophisticated statistical machine learning and forecasting models that ...
Were looking for an innovative Data Scientist to join Experian Automotive and shape the future of data-driven this role youll design and implement advanced analytics solutions standardize and automate data processes and develop sophisticated statistical machine learning and forecasting models that power business intelligence and client insights. Youll craft next-generation algorithms build intuitive data visualization tools and leverage emerging technologiesincluding generative AI and advanced modeling techniquesto solve high-impact challenges. Collaborating across Finance Product Operations and Technology teams youll drive automation optimize analytical workflows and deliver actionable insights that influence strategic decisions. This is an opportunity to push boundaries transform data into intelligence and accelerate innovation across the organization.
Youll have opportunity to:
- Build and optimize scalable data ecosystems to power advanced analytics predictive modeling and intelligent decision-making.
- Lead forecasting and scenario modeling by integrating dynamic inputs validating assumptions and delivering forward-looking insights that anticipate risks and opportunities.
- Automate and streamline analytical workflows to accelerate speed-to-insight and reduce manual intervention.
- Leverage large-scale structured and unstructured data to uncover patterns generate actionable insights and develop predictive and prescriptive models.
- Design deploy and operationalize advanced machine learning solutionsincluding deep learning graph-based models and reinforcement learningto solve complex business and customer challenges.
- Enhance and maintain model development pipelines while driving proof-of-concept initiatives and rapid experimentation.
- Partner with cross-functional teams to define high-impact use cases align on priorities and embed data science solutions into strategic decision-making.
- Establish scalable data and model governance practices to ensure reliability transparency and continuous improvement.
- Utilize modern analytics and cloud platforms (e.g. Python AWS Databricks Tableau) to deliver cutting-edge solutions.
- Advance algorithmic innovation by refining data analysis techniques expanding pattern analytics and generalizing methods for broader data flow coverage.
- Develop intuitive data visualizations and interactive tools to communicate complex insights effectively and drive adoption across the organization.
Qualifications :
- Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics Engineering or a related quantitative field.
- Strong proficiency in Python and experience with machine learning frameworks such as scikit-learn XGBoost or PyTorch; familiarity with SQL and statistical tools (e.g. R SAS MATLAB) is a plus.
- Hands-on experience with generative AI tools large language models (LLMs) and advanced machine learning techniques including supervised unsupervised and time-series modeling.
- Proven ability to deploy and scale models in production using cloud platforms (AWS GCP Azure) and tools like Databricks; experience with AWS services such as S3 Redshift SageMaker EMR Kinesis Lambda and EC2 is highly desirable.
- Data Mastery: Skilled in analyzing large complex datasets and developing predictive models experimental designs and robust analytic plans to uncover insights and determine causal relationships.
- Statistical Acumen: Deep understanding of statistical modeling forecasting and performance optimization for machine learning algorithms.
- Collaboration & Communication: Ability to translate complex technical concepts into clear actionable insights for diverse stakeholders; strong interpersonal skills for cross-functional collaboration.
- Innovation & Execution: Self-motivated results-driven professional with a track record of managing projects end-to-end delivering impactful solutions and meeting deadlines in fast-paced environments.
Additional Information :
Our benefits include: Medical life and dental insurance Asociacion Solidarista International Share Save Plan Flex Work/Work from home Paid time off Annual Performance Bonus Education Reimbursement Family Bonding Bereavement Leave Referral Program and more.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
#LI-ML2 #LI-Remote
Remote Work :
Yes
Employment Type :
Full-time
View more
View less