Talantix.io
Experian•07.03.26
AI SCORE 8.5

Senior Data Scientist - Alternative Data & AFS Solutions - Remote

$140K–$200K/year
RemoteData Science & Financial Services
Python•SQL•Machine Learning•NLP•Statistical Analysis•Generative AI

About the Role

We are seeking a Senior Data Scientist - Alternative Data & AFS Solutions - Remote to join our innovative team. In this role, you will leverage alternative data sources and advanced analytics to drive insights and solutions for our clients in the financial services sector. As a Senior Data Scientist, you will play a crucial role in shaping our data strategies and enhancing our product offerings.

What You'll Do

  • Develop and implement advanced data models using machine learning techniques to analyze alternative data.
  • Collaborate with cross-functional teams to integrate data-driven insights into product development and client solutions.
  • Engage with clients to understand their needs and provide tailored analytical solutions.
  • Evaluate and refine existing models to improve performance and governance.
  • Utilize tools such as Python, SQL, and NLP to extract meaningful insights from complex datasets.

Requirements

  • 5+ years of experience as a Data Scientist, with a focus on alternative data and financial services.
  • Proficiency in Python, SQL, and machine learning frameworks.
  • Strong understanding of statistical analysis and model evaluation techniques.
  • Experience with client engagement and product management in a B2B environment.
  • Familiarity with generative AI and natural language processing is a plus.

Nice to Have

  • Experience in the mortgage industry or credit risk analytics.
  • Knowledge of quantum computing applications in data science.
  • Previous work in a SaaS environment.

What We Offer

  • Competitive salary ranging from $140,000 to $200,000, based on experience.
  • Comprehensive benefits package including medical, dental, vision, and 401K.
  • Flexible work environment with options for remote work.
  • Flexible time off policy, including volunteer time off.
  • Recognition as a top workplace globally, fostering a culture of innovation and collaboration.
Why This Job8.5 of 10

This Senior Data Scientist position offers a unique opportunity to work remotely while leveraging alternative data in the financial services sector. With a competitive salary and excellent benefits, it's an attractive role for experienced professionals.

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

Who Will Succeed Here

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Proficient in Python for data manipulation and analysis, with hands-on experience in libraries such as Pandas, NumPy, and Scikit-learn, allowing for efficient processing of large alternative datasets.

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Strong expertise in machine learning algorithms and NLP techniques, enabling the development of predictive models and text analysis tailored to financial services, particularly in understanding customer behavior from alternative data sources.

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A strategic thinker with a deep understanding of statistical analysis principles and generative AI applications, capable of translating complex data insights into actionable business strategies for clients in the financial sector.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Python: A Practical Introductioncourse
→Natural Language Processing with Pythonbook

Career Path

Senior Data Scientist - Alternative Data & AFS Solutions - Remote(Now)→Lead Data Scientist or Data Science Manager(1-2 years)→Director of Data Science or Chief Data Officer(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
12.5%
AI Adoption
85%
Investment in Data Science
+150%
Labour Demand for Data Scientists
+30%
Avg Salary for Senior Data Scientists
$130K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
Deep LearningData Visualization (e.g., Tableau, Power BI)Cloud Computing (e.g., AWS, Azure)
Declining
R ProgrammingExcel for Data Analysis

Domain Trends

Rise of Generative AI in Data Science
Generative AI is becoming a cornerstone in data analysis, with 70% of data scientists reporting its use in their workflows, enhancing predictive accuracy and insights.
Increased Demand for Real-Time Data Processing
With 60% of companies prioritizing real-time analytics, data scientists skilled in stream processing technologies are in high demand, particularly for financial services.
Shift Towards Automated Machine Learning (AutoML)
AutoML adoption has surged by 40%, allowing teams to streamline model development, with 75% of organizations now integrating it into their data science workflows.

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