Factspan
Website:
factspan.com
Job details:
Description
We are looking for a highly skilled and analytical Senior Data Scientist to design, develop, and deploy scalable machine learning and advanced analytics solutions that drive business impact. The ideal candidate will possess strong expertise in predictive modeling, statistical analysis, machine learning pipelines, and cloud-based data science platforms.
The candidate will work closely with cross-functional teams including engineering, product, analytics, and business stakeholders to build production-ready ML solutions and optimize data-driven decision-making processes.
Key Responsibilities
- Design, develop, validate, and deploy machine learning and predictive analytics models for business use cases.
- Build end-to-end ML pipelines from data ingestion and feature engineering to model deployment and monitoring.
- Work with structured and unstructured datasets to derive actionable insights and business recommendations.
- Develop scalable solutions using cloud-based data science and MLOps platforms.
- Perform exploratory data analysis (EDA), statistical modeling, and hypothesis testing.
- Implement machine learning algorithms for:
- Predictive modeling
- Recommendation systems
- Customer analytics
- Forecasting
- Classification and regression problems
- Collaborate with product, engineering, and business teams to understand requirements and deliver AI-driven solutions.
- Optimize model performance, scalability, and reliability in production environments.
- Build and maintain data pipelines and automated ML workflows.
- Participate in model monitoring, retraining, and performance evaluation processes.
- Create dashboards, reports, and data visualizations for stakeholders.
- Ensure code quality, documentation, and adherence to best practices in data science and MLOps.
- Stay updated with advancements in AI/ML technologies, tools, and industry trends.
Technical Skills Required
Programming & Data Handling:
- Strong proficiency in:
- Python
- SQL
- Experience with:
- Pandas
- NumPy
- Scikit-learn
- PySpark
Additional Skills
- Experience with APIs, data visualization tools, and dashboarding platforms is an added advantage.
- Exposure to high-scale production ML environments and enterprise analytics ecosystems.
Required Skills
- Strong analytical and problem-solving capabilities.
- Excellent communication and stakeholder management skills.
- Ability to work in cross-functional and fast-paced environments.
- Strong business understanding and data-driven decision-making mindset.
- Ability to manage multiple priorities and deliver scalable solutions.
Preferred Qualifications
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
- Certifications in AI/ML, Cloud Platforms, or Data Science are an added advantage.
(ref:hirist.tech)
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