Machine Learning/Data Scientist/Algorithm Skills (Casual Basis with Equity)

at a 
Startup - Marketing Tool for B2B strategies
Type of role:  
Casual
Location
Remote
Pay
Up to $100
Equity provided
Yes
Working style
Remote
Team size
1-5
Seniority
Main skills
Company's funding stage
Bootstrapping
Date posted
December 29, 2023

About the company

We're building a pioneering marketing tool for B2B strategies.

About the job

Join us as a contract-based AI/ML/Data Scientist/Algorithm Engineer and become a key player in shaping a pioneering marketing tool for B2B strategies. This casual role is ideal for those who prefer flexibility and are interested in a potential equity stake in an pre-seed funding innovative startup. Your skills in machine learning, artificial intelligence, data structures, and algorithms will be vital in advancing our tool's capabilities in automating and optimizing marketing campaign strategies.

Requirements

Key Responsibilities:

  1. Algorithm Development: Craft and refine ML algorithms to automate marketing campaign processes.
  2. Data Insights and Analysis: Analyse complex datasets for insights on target markets and industry trends.
  3. Optimize and Innovate: Continually enhance algorithms for better accuracy and usability.
  4. Collaborative Development: Work alongside a diverse team to integrate AI/ML into the broader product.
  5. Stay Current: Keep up-to-date with AI/ML advancements to bring in new, effective solutions.
  6. Enhance User Experience: Contribute to a user-friendly tool for non-technical users.


Qualifications:

  • Degree in Computer Science/Engineering or related field.
  • Experience in ML, AI, data structures, and algorithms.
  • Proficiency in Python, R, or similar programming languages.
  • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
  • Comfortable with cloud platforms (AWS, Azure, GCP).
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.

Alternatively you could be a grad or student that is looking for experience and have the confidence to learn on the job.

Apply for this role
For information or support contact info@skillsrobin.com