Senior Data Scientist (Advanced Modeling & Machine Learning)

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)

Location: Remote

Job Type: Full-time

About the role

We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred.

Responsibilities

• Responsible for analyzing the data, identifying patterns, and do a detailed EDA.
• Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks.
• Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets.
• Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval.
• Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems.
• Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
• Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects

Required Qualifications

• Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• 4–6 years of industry experience in data science or machine learning roles.
• Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing.
• Hands-on knowledge of:

> Programming languages: Python (primary), SQL, R (optional)

> Libraries: pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers

> Distributed computing: PySpark, Dask

> Big Data and Cloud Platforms: Databricks, AWS Sagemaker, Google Vertex AI, Azure ML

> Data Engineering Tools: Apache Spark, Delta Lake, Airflow

> ML Workflow & Visualization: MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib

> Version control and collaboration: Git, GitHub, Jupyter, VSCode

Preferred Qualifications

• Masters or Ph.D. in a quantitative or technical field.
• Experience with deploying machine learning pipelines in production using CI/CD tools.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads.
• Understanding of MLOps and model lifecycle management best practices.
• Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems.

What We Offer

• Competitive salary and performance bonuses
• Flexible working hours and remote options
• Opportunities for continued learning and research
• Collaborative, high-impact team environment
• Access to cutting-edge technology and compute resources

To apply, send your resume to jobs@megovation.io to be part of a team pushing the boundaries of data-driven innovation.