Data Scientist

Data Scientist (Remote)

Location: Fully Remote
Employment Type: Full-Time
Salary: Market-related (dependent on experience)

About the Role

We are seeking a highly analytical and driven Data Scientist to join a dynamic, forward-thinking team. In this role, you will transform complex data into actionable insights, build predictive models, and support strategic decision-making across the business.

This is an excellent opportunity for someone passionate about data, machine learning, and solving real-world business problems in a fully remote environment.

Key Responsibilities

• Collect, clean, and analyse large, complex datasets from multiple sources
• Develop, test, and deploy machine learning models and statistical algorithms
• Identify trends, patterns, and insights to support business decisions
• Work closely with cross-functional teams (engineering, product, business)
• Build data visualisations and dashboards to communicate findings clearly
• Optimise model performance and ensure scalability in production
• Translate business problems into data-driven solutions
• Stay up to date with the latest advancements in data science and AI

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• 3–6+ years' experience in a Data Scientist or similar role
• Strong proficiency in Python (or R)
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
• Solid understanding of statistical analysis and modelling techniques
• Experience working with SQL and large datasets
• Familiarity with data visualisation tools (e.g., Power BI, Tableau, Matplotlib, Seaborn)
• Experience with cloud platforms (AWS, Azure, or GCP) is advantageous
• Strong problem-solving and analytical thinking skills
• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders

Nice to Have

• Experience with big data technologies (e.g., Spark, Hadoop)
• Exposure to MLOps and model deployment pipelines
• Knowledge of NLP, computer vision, or deep learning techniques
• Experience working in a remote or distributed team environment

What's on Offer

• Fully remote work environment
• Opportunity to work on cutting-edge data and AI projects
• Collaborative and innovative team culture
• Continuous learning and development opportunities
• Flexible working hours

Originally posted on Himalayas