AI SCORE 8.5

Senior Data Scientist - Remote Position

$90K–$120K/year

About the Role

We are seeking a talented Senior Data Scientist to join our innovative team at Emerging Travel Group. In this remote role, you will lead end-to-end machine learning projects, from task setting to solution deployment and support. Your expertise will help us enhance our data-driven decision-making processes and improve our services in the travel industry.

What You'll Do

  • Lead the design and implementation of machine learning models, ensuring high quality and performance.
  • Collaborate with data engineers to create datasets and define data requirements for various projects.
  • Conduct A/B testing in partnership with data analysts, interpreting results and making recommendations for improvements.
  • Develop and train models using classic machine learning and deep learning techniques, including solutions for text and image embeddings.
  • Transfer models and code to production, supporting releases and integrations in a Python environment.
  • Monitor model performance post-launch, addressing metrics, drift, and degradation while implementing improvement plans.
  • Utilize SQL for independent dataset assembly, including joins and window functions.
  • Employ MLflow, W&B, or DVC for experiment tracking and model management.

Requirements

  • At least 4 years of experience as a Data Scientist, with a strong background in managing end-to-end machine learning projects.
  • Proficiency in deep learning frameworks such as PyTorch or TensorFlow, with an understanding of model fine-tuning principles.
  • Strong Python skills, focusing on production-quality code and model integration.
  • Experience with machine learning monitoring and quality metrics.
  • Familiarity with model interpretability and error analysis techniques.
  • Conversational English proficiency is required.

Nice to Have

  • Experience with time series data and ranking approaches.

What We Offer

  • A fully flexible work schedule with no pressure to start at a specific time; results matter most.
  • Options for fully remote work, office presence, or a hybrid model.
  • Supportive team culture that prioritizes growth and development.
  • Internal programs for skill development, including soft skills and leadership training.
  • Partial compensation for external training and conferences.
  • Language learning support with group and individual lessons.
  • Corporate discounts on travel services to encourage exploration.
  • MyTime Day Off, an additional day off for personal matters or mental recharge.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist role offers a unique opportunity to lead machine learning projects in a flexible, remote environment. With a focus on personal growth and supportive culture, it's an attractive position for data professionals.

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

Who Will Succeed Here

Proficient in Python and SQL with hands-on experience in libraries like Pandas and NumPy for data manipulation and analysis.

Self-motivated and disciplined, thriving in a remote work environment by effectively managing time and prioritizing tasks in a fast-paced, dynamic setting.

Experienced in deploying machine learning models using frameworks like PyTorch and TensorFlow, with a strong focus on model monitoring and iterative improvement.

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
$65B
Annual Growth
23.4%
AI Adoption
45%
Investment
+150%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
Natural Language ProcessingBig Data TechnologiesCloud Computing (AWS/Azure)
Declining
R ProgrammingMATLAB

Domain Trends

Increased Focus on Explainable AI
With 60% of organizations prioritizing transparency in AI models, Data Scientists are expected to implement explainable AI techniques.
Integration of Edge Computing
The adoption of edge computing is projected to grow by 35% in the next two years, driving demand for Data Scientists who can analyze data at the edge.
Growth in Automated Machine Learning (AutoML)
AutoML is expected to increase by 40% by 2025, leading to a shift in Data Scientist roles towards model optimization and deployment.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.