Data Scientist

Blue Hill Data Inc
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Data analysis
Artificial Neural Networks
Computer Vision
Azure
Cloud Computing
Data Cleansing
Revision Control Systems
Python
Machine Learning
NumPy
TensorFlow
Standard Sql
Feature Engineering
PyTorch
Large Language Models
Model Validation
GIT
Pandas
Matplotlib
Scikit Learn
Machine Learning Operations
Docker

Job description

We're looking for a passionate Data Scientist who enjoys solving real business problems with data and machine learning. You'll take part in designing and delivering ML solutions end-to-end - from exploration and experimentation to deployment. If you like working with diverse data, collaborating with others, and seeing your models used in production, we'd love to meet you!, * Designing and developing ML/AI models (predictive, classification, recommendation, LLM-based),

  • Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.),
  • Performing data cleaning, feature engineering, and model validation,
  • Collaborating with clients and internal teams to translate analytical results into actionable insights

Requirements

We don't expect you to know everything - but we're looking for someone who has:

  • 3-6 years of experience in data analysis, machine learning, or statistical modeling,
  • Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch, PyTorch or TensorFlow),
  • Practical experience with ML model deployment (on cloud or on-premise),
  • Good understanding of statistics and data preparation,
  • Working knowledge of SQL and version control tools (Git),
  • Fluent English - for international communication and collaboration., * Experience with Computer Vision, LLMs, or Time Series,
  • Familiarity with tools like Docker, MLflow, Airflow, AWS/GCP/Azure,
  • Background in research or R&D,
  • Experience working in cross-functional or international teams.

Soft Skills:

  • Curiosity and problem-solving mindset,
  • Clear communication and teamwork,
  • Proactive attitude and sense of ownership,
  • Ability to explain technical concepts to non-technical audiences.

About the company

Digica are AI and Software Experts delivering tomorrow's AI-powered technology today. We develop intelligent software across AI domains, focusing on Deep Learning in Computer Vision, object recognition, AI on the edge, and embedded AI systems. Keywords: Machine Learning, Computer Vision, Artificial Intelligence, Data Science, Robotics. We work with global companies and innovative start-ups in industries such as Defence, Medical, Agricultural and Telecoms. At Digica, we transform cutting-edge science into practical technology for a better tomorrow.

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