Talantix.io
Earnest•05.03.26
AI SCORE 8.5

Data Scientist II - Remote Position

$131K–$164K/year
RemoteFinTech
Python•R•Machine Learning•Data Visualization•SQL•AWS

About the Role

Earnest is hiring a full-time Data Scientist II to join our innovative team. This Data Scientist II remote position allows you to work from anywhere in the USA, contributing to impactful projects that drive our business forward.

What You'll Do

  • Analyze complex data sets to derive actionable insights and support decision-making processes.
  • Develop predictive models and machine learning algorithms to enhance our product offerings.
  • Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
  • Communicate findings effectively to stakeholders through visualizations and reports.
  • Continuously improve data collection and processing methods to ensure data integrity and accuracy.

Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
  • 2-5 years of experience in data science or a related role, with a focus on predictive modeling and statistical analysis.
  • Proficiency in programming languages such as Python or R, and experience with data visualization tools like Tableau or Power BI.
  • Strong understanding of machine learning techniques and algorithms.
  • Excellent problem-solving skills and the ability to work independently in a remote environment.

Nice to Have

  • Experience in the FinTech industry or similar sectors.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Knowledge of SQL and database management.

What We Offer

  • Competitive salary range of $131,000 - $164,000 per year.
  • Remote work flexibility with a supportive team culture.
  • Opportunities for professional development and growth.
  • Comprehensive health benefits and wellness programs.
  • Generous paid time off and holiday schedule.
Why This Job8.5 of 10

This Data Scientist II role at Earnest offers a competitive salary, remote flexibility, and the opportunity to work on impactful projects in the FinTech sector.

Salary Range
Required
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Optional
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Bonus
0/1

Who Will Succeed Here

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Proficient in Python and R for data manipulation and analysis, with experience in libraries such as Pandas, NumPy, and Scikit-learn to build robust machine learning models.

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Self-motivated and disciplined to thrive in a fully remote environment, demonstrating strong time management skills to meet project deadlines without direct supervision.

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Analytical mindset with a strong focus on data visualization techniques using tools like Tableau or Matplotlib, enabling the presentation of complex insights in an easily understandable format.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Pythoncourse
→Data Visualization with Pythonarticle

Career Path

Data Scientist II(Now)→Data Scientist III or Lead Data Scientist(1-2 years)→Principal Data Scientist or Data Science Manager(3-5 years)

Market Overview

Market Size 2024
$16.4B
Annual Growth
25.2%
AI Adoption
45%
Investment
+120%
Labour Demand
+30%
Avg Salary
$120K

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 has increased by 40% in the last year, enabling data scientists to automate model selection and hyperparameter tuning.
Increased Demand for Real-Time Data Analytics
Companies are investing 35% more in real-time data processing capabilities to enhance decision-making and customer experiences.
Growing Importance of Data Ethics
Over 50% of organizations are prioritizing data ethics and governance, leading to a rise in demand for data scientists who can navigate ethical AI practices.

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