Senior Data Scientist
Share
Job Location:
Salary:
Experience Required:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
This is a remote position.
Key Responsibilities
- Lead end-to-end data science projects from problem definition to deployment and business impact measurement.
- Build predictive models statistical models and machine learning solutions for business and product use cases.
- Perform exploratory data analysis to identify trends patterns and actionable insights.
- Design and implement data pipelines for large-scale structured and unstructured datasets.
- Develop and maintain data models feature engineering pipelines and experimentation frameworks.
- Work closely with engineering teams to deploy models into production environments.
- Build dashboards and reporting systems to communicate insights to stakeholders.
- Design and run A/B tests hypothesis testing and causal analysis to guide decision-making.
- Work with big data technologies to process and analyze large datasets efficiently.
- Ensure data quality integrity and governance across systems.
- Collaborate with product engineering and business teams to define metrics and success KPIs.
- Mentor junior data scientists and guide best practices in analytics and modeling.
Requirements
Technical Requirements
- 58 years of experience in Data Science Machine Learning or Analytics roles
- Strong programming skills in Python or R
- Strong knowledge of SQL and relational databases (PostgreSQL MySQL etc.)
- Experience with machine learning libraries (Scikit-learn XGBoost TensorFlow PyTorch etc.)
- Strong foundation in statistics probability and linear algebra
- Experience with data visualization tools (Tableau Power BI or similar)
- Experience working with large datasets and distributed systems (Spark Hadoop etc.)
- Understanding of data pipelines and ETL processes
- Experience deploying models into production environments
Nice to Have
- Experience with cloud platforms (AWS GCP Azure)
- Experience with real-time data processing systems
- Familiarity with MLOps practices (model monitoring CI/CD for ML)
- Experience with feature stores and data versioning systems
- Knowledge of experimentation platforms and causal inference
- Experience working in product-driven or high-growth environments
Required Skills:
Key Responsibilities Design develop and maintain robust scalable and secure Java applications Build and optimize RESTful APIs and microservices architecture Collaborate with cross-functional teams (product QA DevOps) to deliver features Write clean efficient and well-documented code Perform code reviews and mentor junior developers Troubleshoot debug and improve system performance Participate in architectural discussions and technical decision-making Ensure application security scalability and reliability Required Skills & Qualifications Strong proficiency in Java (8 or above) Experience with Spring Framework / Spring Boot Solid understanding of object-oriented programming (OOP) principles Experience with REST APIs Microservices architecture Knowledge of SQL and NoSQL databases (e.g. MySQL PostgreSQL MongoDB) Familiarity with version control systems (Git) Experience with CI/CD pipelines and build tools (Maven/Gradle) Understanding of cloud platforms (AWS Azure or GCP) is a plus Strong problem-solving and analytical skills Preferred Qualifications Experience with Docker Kubernetes Knowledge of event-driven architecture (Kafka RabbitMQ) Exposure to performance tuning and system design Prior experience in Agile/Scrum environments Soft Skills Strong communication and collaboration skills Ability to work independently and take ownership Mentorship mindset and leadership qualities
