We re transforming the software industry. We re Flexera. With more than 50,000 customers across the world, we re achieving that goal . But we know we can t do any of that without our team . Ready to help us re-imagine the industry during a time of substantial growth and ambitious plansCome and see why we re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com

Job Summary:

We are seeking an accomplished and forward-thinking Senior Data Scientist to join our Data Intelligence team. The ideal candidate will drive the transformation of manual data curation processes into automated, AI/ML-powered workflows, ensuring higher efficiency and accuracy in how we manage and utilize data. This role involves collaborating with cross-functional teams including product managers, operations, and data engineering to implement innovative solutions that enhance data quality, reduce manual effort, and drive business value.

Key Responsibilities:

• Identify manual data curation and processing workflows, then design and implement AI/ML-driven automation solutions to improve efficiency.
• Lead the end-to-end development of ML solutions for data cleaning, validation, and standardization.
• Utilize statistical, machine learning, and deep learning techniques to solve complex data intelligence challenges.
• Perform exploratory data analysis to uncover insights, refine model features, and guide decision-making.
• Collaborate with data engineering teams to ensure robust and efficient data pipelines that feed into AI/ML systems.
• Research and implement state-of-the-art methodologies in ML, deep learning, and related fields.
• Oversee iterative experimentation, including A/B testing and model optimization.
• Mentor junior data scientists, reviewing code, models, and workflows for best practices.
• Communicate findings effectively to both technical and non-technical audiences.
• Champion AI/ML initiatives across the organization and identify new areas for innovation.

Required Skills and Qualifications:

• 5+ years of hands-on experience in Data Science or Machine Learning roles, with a strong focus on automating data-centric processes.
• Proficiency in Python or R and core data science libraries (e.g., NumPy, Pandas, scikit-learn).
• Expertise in at least one deep learning framework (e.g., TensorFlow, PyTorch, Keras).
• Strong foundation in statistics, mathematics, or related quantitative fields.
• Proven experience deploying ML models or automation solutions in cloud environments (AWS, Azure, or GCP).
• Demonstrated success in reducing manual workload through ML-driven data curation or process optimization.
• Familiarity with version control (Git) and CI/CD workflows in a data science context.
• Exceptional problem-solving and analytical skills.
• Effective communication skills for presenting complex insights to diverse stakeholders.

Preferred Qualifications:

• Experience with large-scale data processing frameworks (e.g., Spark) and distributed computing.
• Familiarity with specialized domains like Natural Language Processing or Computer Vision.
• Knowledge of MLOps tools (MLflow, Databricks, Kubeflow) and best practices for continuous model delivery.
• Background in experimentation methodologies, A/B testing, and performance evaluation.
• Experience in data governance, data lineage, or data stewardship best practices.
• Publications in AI/ML conferences or journals.

Role: Data Scientist

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate