Talantix.io
Remote Position•13.03.26
AI SCORE 8.5

Senior Data Scientist - GenAI Remote Position

$140K–$200K/year
RemoteAI/Big Data
Python•R•SQL•AWS•Machine Learning•Data Analysis•Deep Learning

About the Role

We are seeking a Senior Data Scientist - GenAI Remote to join our innovative team. In this role, you will leverage your expertise in data science and machine learning to drive impactful projects that utilize large language models and advanced AI technologies. As a Senior Data Scientist, you will play a key role in shaping our data strategy and mentoring junior team members.

What You'll Do

  • Develop and implement advanced machine learning models to enhance our GenAI capabilities.
  • Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions.
  • Lead projects involving data ingestion, semantic transformation, and analysis using Python and R.
  • Mentor junior data scientists and contribute to their professional growth.
  • Utilize cloud technologies such as AWS to deploy scalable data solutions.
  • Conduct A/B testing to evaluate the effectiveness of new features and models.
  • Stay updated with the latest trends in AI and data science to ensure our practices are cutting-edge.

Requirements

  • 5+ years of experience as a Data Scientist, with a focus on AI and machine learning.
  • Strong proficiency in Python, R, SQL, and cloud platforms like AWS.
  • Experience with large language models and deep learning frameworks.
  • Proven track record of leading data science projects from conception to deployment.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills to convey complex data insights to non-technical stakeholders.

Nice to Have

  • Experience in cybersecurity or business development.
  • Familiarity with Windows and Linux administration.
  • Knowledge of SaaS applications and data visualization tools.

What We Offer

  • Market leader in compensation and equity awards.
  • Comprehensive wellness programs and competitive vacation policies.
  • Paid parental and adoption leaves.
  • Professional development opportunities and employee networks.
  • A vibrant office culture with world-class amenities.
  • Recognition as a Great Place to Work Certified™ globally.
  • A commitment to diversity and equal opportunity employment.
  • Support for veterans and individuals with disabilities.
Why This Job8.5 of 10

This Senior Data Scientist - GenAI remote position offers a unique opportunity to lead innovative AI projects while enjoying competitive compensation and a supportive work culture.

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 building and deploying machine learning models, with hands-on experience in libraries like TensorFlow and scikit-learn to develop innovative solutions in GenAI.

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Self-motivated and highly organized, able to thrive in a remote work environment by effectively managing time and prioritizing tasks to meet project deadlines, while also being open to collaborative brainstorming sessions with team members.

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Possesses a strong analytical mindset and a deep understanding of SQL and AWS, enabling the ability to efficiently query large datasets and utilize cloud resources for scalable machine learning applications.

Learning Resources

→Python Data Science Handbookguide
→Deep Learning Specializationcourse
→AWS Machine Learning Documentationarticle

Career Path

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

Market Overview

Market Size 2024
$40B
Annual Growth
22.5%
AI Adoption
65%
Investment
+150%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
PythonRSQL
Growing in Demand
TensorFlowPyTorchNatural Language Processing (NLP)
Declining
SASMATLAB

Domain Trends

Rise of Generative AI
The adoption of Generative AI in data science is expected to increase by 45% in the next two years, leading to higher demand for skilled professionals.
Cloud-Based Data Solutions
Over 70% of organizations are shifting to cloud-based data solutions, emphasizing the need for skills in AWS and cloud architecture.
Increased Focus on Ethical AI
By 2025, 60% of data science teams will prioritize ethical AI practices, creating demand for expertise in responsible AI development.

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