Data Scientist | Machine Learning

Data Scientist | Machine Learning | AI & Advanced Analytics | Data-Driven Decision Making

We are looking for an innovative, analytical, and results-oriented Data Scientist to join our growing team and support U.S.-based organizations across Technology, SaaS, Healthcare, Finance, Retail, Manufacturing, and Biotechnology industries.

This role is ideal for professionals who are passionate about transforming complex data into actionable insights, building predictive models, and leveraging Machine Learning and Artificial Intelligence to solve real-world business challenges. You'll collaborate with cross-functional teams to develop data-driven strategies that improve products, optimize operations, and drive business growth.

If you're excited about working with large datasets, advanced analytics, AI technologies, and cutting-edge data science tools, we'd love to hear from you.

What You'll Do

• Collect, clean, transform, and analyze structured and unstructured data from multiple sources.
• Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems.
• Build, validate, and deploy machine learning models for production environments.
• Analyze customer behavior, business performance, operational efficiency, and market trends.
• Collaborate with Product, Engineering, Business Intelligence, Marketing, and Executive teams to translate business problems into analytical solutions.
• Design and maintain data pipelines, feature engineering processes, and model monitoring frameworks.
• Develop dashboards, reports, and visualizations to communicate complex insights to technical and non-technical stakeholders.
• Conduct A/B testing, hypothesis testing, forecasting, and statistical modeling.
• Optimize data quality, model performance, and automation processes.
• Stay current with emerging AI, Machine Learning, and Data Science technologies and best practices.

Data Science Expertise

• Data Science
• Machine Learning
• Predictive Analytics
• Statistical Modeling
• Data Mining
• Feature Engineering
• Forecasting
• Time Series Analysis
• A/B Testing
• Hypothesis Testing
• Data Visualization
• Business Analytics
• Natural Language Processing (NLP)
• Recommendation Systems
• Deep Learning
• AI Model Development
• Data Storytelling
• Model Deployment
• Model Monitoring
• Data-Driven Decision Making

Programming Languages & Technologies

Experience with one or more of the following:

• Python (Required)
• SQL (Required)
• R
• PySpark
• Scala
• Git
• Jupyter Notebook
• Google Colab

Machine Learning & AI

• Scikit-learn
• TensorFlow
• PyTorch
• XGBoost
• LightGBM
• OpenAI API
• LangChain
• Hugging Face
• MLflow

Cloud & Data Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)
• Databricks
• Snowflake
• BigQuery
• Redshift
• Azure Synapse

Visualization & BI

• Power BI
• Tableau
• Looker
• Matplotlib
• Seaborn
• Plotly

What We're Looking For

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
• 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong proficiency in Python and SQL.
• Experience building, validating, and deploying machine learning models.
• Strong knowledge of statistics, predictive modeling, and data analysis.
• Experience working with large datasets and cloud-based data platforms.
• Experience communicating technical findings to business stakeholders.
• Strong problem-solving, analytical thinking, and critical reasoning skills.
• Professional English proficiency (B2+/C1 preferred).
• Ability to work independently in a remote, multicultural environment.

Preferred Qualifications

• Master's degree in Data Science, Statistics, AI, Computer Science, or a related discipline.
• Experience supporting U.S.-based companies or global organizations.
• Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI applications.
• Experience with MLOps, model deployment, and production environments.
• Knowledge of Docker, Kubernetes, CI/CD, and API development.
• Experience working in SaaS, Healthcare, Finance, Retail, or Biotechnology industries.
• AWS, Azure, GCP, Databricks, TensorFlow, or Microsoft certifications.

Why Join