MicroSourcing10.03.26
AI SCORE 8.5

Senior Data Scientist - Remote Position

$180K–$200K/year

About the Role

Join MicroSourcing as a Senior Data Scientist in a fully remote position! As a Senior Data Scientist, you will lead data science initiatives that drive strategic decision-making and product innovation through advanced analytics and AI solutions. This role offers an exciting opportunity to work from home while contributing to impactful projects.

What You'll Do

  • Lead Data Science Initiatives: Drive strategic decision-making and product innovation through advanced analytics and AI solutions.
  • Model Development & Deployment: Design, validate, and implement scalable machine learning models to solve complex business problems.
  • Experimentation & Insights: Conduct rigorous experimentation and extract actionable insights from large, complex datasets.
  • Cross-Functional Collaboration: Work closely with engineering, product, and analytics teams to integrate data science solutions into business processes.
  • Data-Driven Strategy Support: Provide analytical rigor and insights to guide business strategy and improve decision-making.
  • Focus on AI & Advanced Analytics: Emphasize model accuracy, scalability, and impact rather than basic data handling.
  • Forecasting & Analytics: Apply statistical and ML techniques to extract insights and forecast outcomes using tools like Prophet and Statsforecast.
  • Continuous Improvement: Evaluate new methodologies and technologies to enhance modeling capabilities and stay ahead of industry trends.

Requirements

  • Strong programming experience in Python (minimum 5 years).
  • Proven ability to develop, deploy, and manage machine learning models end-to-end in production.
  • Experience in monitoring and optimizing model performance in production environments.
  • Hands-on experience in data collection and cleaning from disparate data sources to prepare datasets for analysis and modeling.
  • Previous experience as a Data Scientist in a professional setting.

Nice to Have

  • Experience with Scikit-learn and XGBoost for model development.
  • Familiarity with Databricks, Snowflake, and PySpark.
  • Knowledge of advanced AI approaches, including Retrieval-Augmented Generation (RAG) and multimodal LLMs.

What We Offer

  • Competitive salary with above-market compensation.
  • Healthcare coverage on day one, including for one or more dependents.
  • Paid time-off with cash conversion and performance bonuses.
  • A collaborative spirit with company-sponsored events and activities.
  • Flexible work arrangements to ensure work-life harmony.
  • Opportunities for continuous learning and career advancement.
  • An inclusive culture that celebrates diversity.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist position at MicroSourcing offers a unique opportunity to lead innovative projects while enjoying the flexibility of remote work. With competitive compensation and a strong focus on career growth, this role is ideal for experienced data scientists.

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

Who Will Succeed Here

Proficient in Python and machine learning frameworks like scikit-learn and XGBoost, with a strong ability to apply advanced statistical models to real-world problems.

Self-motivated and disciplined, thriving in a fully remote environment; capable of managing time effectively and collaborating asynchronously with cross-functional teams.

Possesses a strategic mindset with extensive experience in data analysis and visualization, particularly using tools like Databricks and Snowflake to derive actionable insights from large datasets.

Learning Resources

Python for Data Science Handbookguide

Career Path

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

Market Overview

Market Size 2024
$45B
Annual Growth
22.5%
AI Adoption
85%
Investment
+150%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
PythonMachine LearningData Analysis
Growing in Demand
TensorFlowNatural Language Processing (NLP)Big Data Technologies (e.g., Apache Spark)
Declining
R ProgrammingHadoop

Domain Trends

Increased Demand for Automated Machine Learning
The adoption of Automated Machine Learning (AutoML) tools has surged, with a 75% increase in companies implementing these solutions to streamline model development.
Rise of Cloud-Based Data Platforms
Cloud data platforms like Snowflake and Databricks are expected to grow by 40% in usage, as companies move towards scalable data solutions.
Focus on Responsible AI and Ethical Data Practices
There is a growing emphasis on responsible AI, with 60% of organizations prioritizing ethical data usage and transparency in AI models.

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