Job Description
You will possess a structured approach, analytical prowess, and impeccable data science skills.
Master's degree in Statistics, Computer Science, Mathematics, or a related field.
Minimum 2+ years of experience as a Data Scientist or in a similar role.
Strong proficiency in programming languages like Python and R.
Experience with popular machine learning libraries like scikit-learn, AutoML TensorFlow, or PyTorch (familiarity with more than one is a plus).
A fundamental understanding or hands-on experience with Retrieval-Augmented Generation (RAG) is preferred.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
A passion for providing high quality work and open to peer feedback.
A passion for learning and staying up to date with emerging technologies.
Exposure to notebook environments such as Jupyter Notebook, RStudio or Databricks Collaborative Workbench.
Here’s a Taste of What’s on Offer at dataengine:
Opportunity to solve real-world business problems.
Collaborative and supportive work environment.
Competitive salary.
Be at the forefront of data science innovation in a dynamic startup environment.
Work on a variety of challenging and impactful projects across different industries.
Opportunity to learn and grow your skillset with the latest technologies.
Continuous learning and development opportunities.
Weekly fresh fruit, snacks, monthly industry led lunches and active staff activities.
Be part of a company that is shaping the future of data-driven solutions.
If you are a passionate and talented data geek who is excited about making a real impact, we encourage you to apply!
Show less
Seniority level
Associate
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at dataengine by 2x
See who you know
Master's degree in Statistics, Computer Science, Mathematics, or a related field.
Minimum 2+ years of experience as a Data Scientist or in a similar role.
Strong proficiency in programming languages like Python and R.
Experience with popular machine learning libraries like scikit-learn, AutoML TensorFlow, or PyTorch (familiarity with more than one is a plus).
A fundamental understanding or hands-on experience with Retrieval-Augmented Generation (RAG) is preferred.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
A passion for providing high quality work and open to peer feedback.
A passion for learning and staying up to date with emerging technologies.
Exposure to notebook environments such as Jupyter Notebook, RStudio or Databricks Collaborative Workbench.
Here’s a Taste of What’s on Offer at dataengine:
Opportunity to solve real-world business problems.
Collaborative and supportive work environment.
Competitive salary.
Be at the forefront of data science innovation in a dynamic startup environment.
Work on a variety of challenging and impactful projects across different industries.
Opportunity to learn and grow your skillset with the latest technologies.
Continuous learning and development opportunities.
Weekly fresh fruit, snacks, monthly industry led lunches and active staff activities.
Be part of a company that is shaping the future of data-driven solutions.
If you are a passionate and talented data geek who is excited about making a real impact, we encourage you to apply!
Show less
Seniority level
Associate
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at dataengine by 2x
See who you know
💡 Quick Summary
Seeking a career-building opportunity? The Data Scientist position is now open for candidates interested in the Work from home Jobs sector. This role in Auckland offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.