jobster02.02.26
AI SCORE 8.5

Senior Data Scientist - Remote Opportunities with Relocation Support

$120K–$300K/year

About the Role

We are seeking a Senior Data Scientist to join our innovative team. This Senior Data Scientist remote position offers a unique opportunity to work with large-scale unstructured and alternative data, applying statistical and machine learning methods. You will play a crucial role in building a centralized data function that supports quantitative research and development teams.

What You'll Do

  • Build and own ML models and data workflows on large, messy datasets.
  • Design experiments to assess data structure, signal quality, and robustness.
  • Develop forecasting, modeling, or optimization systems that inform decisions.
  • Analyze model behavior, regime shifts, drift, and failure modes.
  • Design repeatable data and experimentation systems.
  • Translate modeling work into production-grade components.
  • Own models end-to-end, including monitoring and iteration.

Requirements

  • Strong foundations in statistics, probability, and applied machine learning.
  • Fluent in Python with experience writing production-quality, testable code.
  • Hands-on experience with large, noisy datasets.
  • Demonstrated impact through shipped models, production systems, or original work.
  • Experience with market, macroeconomic, or financial time-series data.

Nice to Have

  • Experience with commodities, energy, or asset-level datasets.
  • Familiarity with equities-related data (earnings, filings, corporate disclosures).
  • Experience with alternative or unstructured data used in modeling or forecasting (e.g., transactions, text, imagery, sensor data).

What We Offer

  • Fully guaranteed, competitive compensation.
  • Education allowance for dependent children.
  • 30 working days of annual leave.
  • Comprehensive healthcare for employee and family.
  • Business class relocation flights.
  • Joining and departure allowances.

This Senior Data Scientist remote role is designed for long-term sustainability and family life, with short-term remote work supported during peak summer months. If you are looking to advance your Data Science career with relocation support, apply now!

Why This Job8.5 of 10

This Senior Data Scientist role offers a competitive salary and relocation support, making it an attractive opportunity for professionals looking to advance their careers.

Salary Range
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Bonus
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About jobster

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Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python with a strong understanding of libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and machine learning model development.

Self-motivated and disciplined in a remote work environment, able to manage time effectively to meet project deadlines and collaborate asynchronously with team members.

Demonstrates a growth mindset with experience in applying statistical methods and machine learning algorithms to large-scale data sets, particularly in forecasting and predictive modeling.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Scientist(Now)Lead Data Scientist(1-2 years)Data Science Manager(3-5 years)

Market Overview

Python Market Size 2024
$28B
Annual Growth
11.2%
AI Adoption in Data Science
65%
Investment in Data Science Tools
+45%
Labour Demand for Data Scientists
+30%
Avg Salary for Senior Data Scientist
$130K

Skills & Requirements

Required
PythonMachine LearningStatistics
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Apache Spark)
Declining
R ProgrammingMATLAB

Domain Trends

Increased Focus on Ethical AI
Companies are prioritizing ethical considerations in AI implementations, with 72% of organizations adopting ethical guidelines for AI by 2025.
Integration of Automated Machine Learning (AutoML)
The use of AutoML tools is expected to grow by 40%, allowing data scientists to automate model selection and hyperparameter tuning.
Rise of Edge Computing in Data Science
Edge computing is projected to grow by 35%, enabling real-time data processing and analysis at the source, which is vital for IoT applications.

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