Talantix.io
Machinify•02.03.26
AI SCORE 8.5

Senior Data Scientist - Remote Position at Machinify

$140K–$180K/year
RemoteHealthTech
Data Science•SQL•Cloud Services•Data Visualization•Machine Learning•Data Engineering

About the Role

Machinify is seeking a Senior Data Scientist to join our innovative team. This remote position allows you to work from anywhere in the United States while leading analytics efforts that drive impactful decisions in healthcare. As a Senior Data Scientist, you will leverage your extensive experience in data science and engineering to provide insights that enhance our AI-powered platform, which is already deployed by over 85 health plans covering more than 270 million lives.

What You'll Do

  • Lead analytics projects, utilizing your hands-on experience to derive actionable insights from complex healthcare data.
  • Develop and maintain production-quality dashboards for cross-functional teams, ensuring data is accessible and understandable.
  • Write efficient SQL queries to analyze large datasets and support data-driven decision-making.
  • Collaborate with stakeholders to balance competing priorities and deliver technical products with measurable impact.
  • Utilize cloud-based services to enhance data processing and analytics capabilities.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related STEM field.
  • 5+ years of hands-on experience in data science and engineering within a business environment.
  • Proven track record of leading projects and delivering results that drive business outcomes.
  • Strong analytical skills with a first-principles approach to problem-solving.
  • Experience building large-scale production data pipelines and dashboards.

Nice to Have

  • Familiarity with machine learning techniques and their application in healthcare.
  • Experience working with enterprise software environments.
  • Knowledge of data visualization tools such as Tableau or Power BI.

What We Offer

  • Work from anywhere in the US with a digital-first approach.
  • Comprehensive medical, dental, and vision insurance.
  • 401(k) plan with company match and flexible spending accounts.
  • Tuition reimbursement for continuous learning and development.
  • Unlimited PTO and additional health and wellness benefits.
  • A flexible and trusting environment that empowers you to do your best work.
Why This Job8.5 of 10

This Senior Data Scientist position at Machinify offers a unique opportunity to work remotely while leading impactful analytics projects in the healthcare sector. With competitive compensation and a flexible work environment, it's an attractive role 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 for developing complex machine learning models, with hands-on experience in libraries such as TensorFlow and Scikit-learn to enhance data-driven healthcare solutions.

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Strong understanding of cloud services like AWS or Azure for deploying and managing data pipelines, ensuring efficient data storage and retrieval in a remote environment.

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Demonstrated ability to create compelling data visualizations using tools like Tableau or Power BI, translating complex data into actionable insights for healthcare stakeholders.

Learning Resources

→Data Science Handbookguide
→Machine Learning Specializationcourse
→SQL for Data Sciencecourse

Career Path

Senior Data Scientist(Now)→Lead Data Scientist or Data Science Manager(1-2 years)→Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$140B
Annual Growth
28.4%
AI Adoption
63%
Investment
+45%
Labour Demand
+32%
Avg Salary
$130K

Skills & Requirements

Required
Data ScienceSQLCloud Services
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Hadoop, Spark)
Declining
Traditional Statistical Analysis (e.g., SPSS, SAS)Excel-based Data Analysis

Domain Trends

Increased Demand for Automated Machine Learning (AutoML)
By 2025, over 50% of data science tasks are expected to be automated, significantly enhancing productivity and reducing time-to-insight.
Shift Towards Real-time Data Processing
Around 70% of organizations are prioritizing real-time analytics to improve decision-making and operational efficiency, reflecting a growing need for skills in streaming data technologies.
Focus on Ethical AI and Data Privacy
With 58% of consumers concerned about data privacy, organizations are investing in ethical AI practices, creating a demand for data scientists who understand regulatory compliance and ethical considerations.

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