Talantix.io
Experian•01.03.26
AI SCORE 8.5

Senior Data Scientist - Alternative Data Solutions (Remote)

$133K–$240K/year
RemoteFinTech
Python•R•Machine Learning•Statistical Analysis•Data Visualization•Big Data•Cloud Computing

About the Role

Experian is hiring a full-time Senior Data Scientist - Alternative Data to join our AFS Solutions team, working remotely from the United States. As a Senior Data Scientist, you will leverage alternative data to develop innovative solutions that enhance our offerings and drive business growth. This role offers a unique opportunity to work with cutting-edge technologies and contribute to impactful projects in the FinTech industry.

What You'll Do

  • Design and implement advanced data models and algorithms 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 derive insights and improve decision-making processes.
  • Present findings and recommendations to stakeholders, ensuring clarity and actionable outcomes.
  • Stay updated on industry trends and best practices in data science and alternative data analytics.

Requirements

  • 5+ years of experience as a Data Scientist, with a focus on alternative data analytics.
  • Proficiency in programming languages such as Python or R, and experience with data visualization tools.
  • Strong understanding of machine learning algorithms and statistical analysis.
  • Experience working with large datasets and cloud-based data platforms.
  • Excellent communication skills and the ability to convey complex concepts to non-technical stakeholders.

Nice to Have

  • Experience in the FinTech industry or with financial data.
  • Familiarity with big data technologies such as Hadoop or Spark.
  • Knowledge of data privacy regulations and compliance.

What We Offer

  • Competitive salary ranging from $133,109 to $239,596 annually.
  • Comprehensive health benefits and wellness programs.
  • Flexible work environment with remote work options.
  • Opportunities for professional development and career advancement.
  • A collaborative and innovative team culture that values diversity and inclusion.
Why This Job8.5 of 10

This Senior Data Scientist role at Experian offers a competitive salary and the opportunity to work remotely while driving innovation in alternative data solutions.

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

Who Will Succeed Here

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Proficiency in Python and R for developing machine learning models, with hands-on experience in libraries such as TensorFlow or PyTorch, enabling the candidate to effectively analyze alternative data sources.

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Strong analytical mindset with a focus on statistical analysis and big data technologies like Apache Spark or Hadoop, allowing the candidate to derive actionable insights from large and complex datasets.

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Self-motivated and adaptable, thriving in a fully remote environment by demonstrating excellent time management and the ability to collaborate asynchronously with cross-functional teams.

Learning Resources

→Machine Learning with Pythoncourse
→Introduction to R for Data Sciencecourse
→A Comprehensive Guide to Data Visualization with Pythonarticle

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

Python Market Size 2024
$22.5B
Annual Growth (Python)
11.2%
AI Adoption in Data Science
75%
Investment in Data Science Tools
+35%
Labour Demand for Data Scientists
+30%
Avg Salary for Senior Data Scientists
$130K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Engineering
Declining
SASMATLAB

Domain Trends

Rise of Alternative Data Sources
The use of alternative data sources in data science is projected to grow by 45% in the next two years as companies seek to gain competitive advantages.
Increased Focus on Ethical AI
Over 60% of organizations are prioritizing ethical AI practices, leading to a demand for data scientists who can implement responsible AI solutions.
Integration of Cloud Computing in Data Science
Cloud computing adoption in data science projects is expected to increase by 40% as organizations move towards scalable and flexible data solutions.

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