Talantix.io
Experian•09.03.26
AI SCORE 8.5

Senior Data Scientist - Alternative Data Solutions

$133K–$240K/year
RemoteFinTech
Python•R•Machine Learning•Statistical Analysis•Data Visualization•TensorFlow•scikit-learn

About the Role

Experian is hiring a full-time Senior Data Scientist - Alternative Data Solutions to join our innovative team. This Senior Data Scientist remote position offers you the opportunity to work from anywhere in the United States, contributing to the development of cutting-edge alternative data solutions.

What You'll Do

  • Develop and implement advanced statistical models to analyze alternative data sources.
  • Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
  • Utilize machine learning techniques to enhance data processing and predictive analytics.
  • Present findings and insights to stakeholders, ensuring data-driven decision-making.
  • Continuously improve data quality and model performance through rigorous testing and validation.

Requirements

  • 5+ years of experience as a Data Scientist, with a focus on alternative data.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn).
  • Excellent analytical skills and the ability to work with large datasets.
  • Strong communication skills to effectively convey complex data insights.

Nice to Have

  • Experience in the FinTech industry or with financial data.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).

What We Offer

  • Competitive salary ranging from $133,109 to $239,596 annually.
  • Flexible remote work environment, allowing you to balance work and personal life.
  • Comprehensive health benefits and retirement plans.
  • Opportunities for professional development and continuous learning.
  • Collaborative and inclusive company culture.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist role at Experian offers a competitive salary and the flexibility of remote work, making it an attractive opportunity for experienced data professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and R, with hands-on experience in deploying machine learning models using TensorFlow and scikit-learn for practical applications in alternative data analysis.

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Self-motivated and disciplined for remote work, demonstrating exceptional time management and the ability to independently drive projects from conception to execution in a virtual team environment.

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Strong analytical mindset with a proven track record of conducting complex statistical analyses and creating impactful data visualizations that inform strategic decision-making.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with TensorFlow on Courseracourse
→Data Visualization with Python on freeCodeCamparticle

Career Path

Senior Data Scientist - Alternative Data Solutions(Now)→Lead Data Scientist or Data Science Manager(2-4 years)→Director of Data Science or Chief Data Officer(5-7 years)

Market Overview

Market Size 2024
$45B
Annual Growth
22.5%
AI Adoption
65%
Investment
+150%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Spark, Hadoop)
Declining
MATLABSAS

Domain Trends

Rise of Automated Machine Learning (AutoML)
The adoption of AutoML tools is increasing, with a projected growth rate of 40% by 2025, allowing data scientists to focus more on strategy rather than repetitive tasks.
Integration of Alternative Data Sources
Companies are increasingly leveraging alternative data for insights, with 75% of organizations using non-traditional data sources to enhance analytical capabilities.
Emphasis on Explainable AI (XAI)
The demand for transparency in AI models is rising, with 60% of firms prioritizing explainability in their AI initiatives to comply with regulations and build trust.

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