Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, create, implement, and enhance enterprise-level data science and machine learning solutions.

• Convert business challenges into analytical strategies.

• Build predictive models and establish machine learning pipelines.

• Oversee model performance and facilitate data-driven decision-making throughout the operational lifecycle.

• Engage with extensive structured and unstructured datasets utilizing contemporary analytics platforms and cloud technologies.

• Collaborate with business stakeholders, data engineers, software developers, product managers, and cross-functional teams within an Agile framework.

• Provide scalable, precise, and impactful data science solutions that align with strategic business objectives.

⛳️ Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related quantitative field.

• A minimum of 6 years of relevant experience.

• At least five years of professional experience in developing production-quality machine learning models, predictive analytics solutions, and enterprise-level data science applications.

• Profound understanding of statistics, probability, machine learning algorithms, data structures, data modeling, feature engineering, model evaluation techniques, and principles of the end-to-end machine learning lifecycle.

• Advanced proficiency in Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and contemporary data science libraries.

• Hands-on experience in designing, training, validating, deploying, and monitoring machine learning models at the production level.

• Familiarity with regression, classification, clustering, forecasting, recommendation systems, and natural language processing applications.

• Experience with relational and NoSQL databases, large-scale datasets, data warehouses, and distributed data processing platforms such as Spark, Hadoop, Snowflake, Databricks, or BigQuery.

• Strong SQL capabilities and experience in data exploration, feature engineering, query optimization, ETL development, data visualization, and business intelligence reporting.

• Familiarity with Git-based version control, CI/CD, MLOps, model deployment pipelines, code reviews, and collaborative software development practices.

• Experience in deploying machine learning solutions on AWS, Azure, or GCP, including managed AI/ML services, storage, networking, and identity management.

• Strong skills in debugging, analytical thinking, problem-solving, root-cause analysis, and the ability to convey findings and business recommendations effectively.

• U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer applicants are encouraged to apply.

• No new H-1B visa petitions can be sponsored.

• Preferred qualifications include experience with real-time machine learning systems, recommendation engines, streaming analytics, event-driven architectures, Kafka, Spark Streaming, Docker, Kubernetes, Kubeflow, MLflow, Airflow, deep learning, reinforcement learning, computer vision, generative AI, LLMs, XAI, model fairness, responsible AI, automated testing, model monitoring, feature stores, experiment tracking, data governance, and continuous machine learning delivery pipelines.

🏝️ Benefits

• Comprehensive benefits package.

• Competitive salary structure.

• Supportive work-life balance.

• Opportunities for career advancement.

• Ongoing learning and development opportunities.