Data Scientist Remote
Data Scientist Remote
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Salary Not Disclosed
1 Vacancy
Job Description
Were looking for a creative Data Scientist to join Experian Automotive and shape the future of data-driven decision-making. Youll design and implement advanced analytics solutions standardize and automate data processes and develop statistical machine learning and forecasting models that power business intelligence and client insights. Youll create next-generation algorithms build intuitive data visualization tools and use new technologiesincluding generative AI and advanced modeling techniquesto solve challenges. Collaborating across Finance Product Operations and Technology teams youll guide automation optimize analytical workflows and deliver relevant insights that influence strategic decisions. This is an opportunity to push boundaries transform data into intelligence and accelerate innovation across the organization. You will report to Experian Automotives Vice President of Product Management.
Youll have opportunity to:
- Build scalable data ecosystems to power advanced analytics predictive modeling and thoughtful decision-making.
- Lead forecasting and scenario modeling by integrating dynamic inputs validating assumptions and delivering forward-looking insights that anticipate risks and opportunities.
- Automate analytical workflows to accelerate speed-to-insight and reduce manual intervention.
- Use large-scale structured and unstructured data to uncover patterns create relevant 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.
- Maintain model development pipelines while driving proof-of-concept programs and rapid experimentation.
- Partner with teams to define high-impact use cases and embed data science solutions into strategic decision-making.
- Establish scalable data and model governance practices to ensure reliability transparency and continuous improvement.
- Use modern analytics and cloud platforms (e.g. Python AWS Databricks or Tableau) to find the latest solutions.
- Improve 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 and increase adoption across the organization.
Qualifications :
- Education: Bachelors degree in Computer Science Data Science Statistics Mathematics Engineering or a related quantitative field.
- Technical Expertise: 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 or MATLAB).
- AI & Advanced Modeling: Hands-on experience with generative AI tools large language models (LLMs) and advanced machine learning techniques including supervised unsupervised and time-series modeling.
- Cloud & Deployment: 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 or EC2.
- Data Mastery: Experienced in analyzing complex datasets and developing predictive models experimental designs and analytic plans to uncover insights and determine causal relationships.
- Statistical: Understanding of statistical modeling forecasting and performance optimization for machine learning algorithms.
- Collaboration & Communication: Ability to translate complex technical concepts into clear relevant insights for diverse team members.
- Innovation and Execution: Experience managing projects end-to-end delivering impactful solutions.
Additional Information :
Benefits/Perks:
- Great compensation package and bonus plan
- Core benefits including full medical dental vision and matching 401K
- Fully remote environment
- Flexible time off including volunteer time off vacation sick and 12-paid holidays
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward and recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range individual pay is determined by work location and additional factors such as job-related experience and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important 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 color 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-Remote
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Department / Functional Area
Analytics
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
