Job Description – Senior Data Scientist As a Senior Data Scientist, your responsibilities will encompass developing advanced data analytics models, implementing machine learning algorithms, and optimizing data pipelines. You will play a pivotal role in delivering data-driven solutions that enhance our and our client’s products and operations, ultimately driving business growth. Collaboration with cross-functional teams, management, and senior leadership will be key as you translate complex data into actionable insights and strategies. We are looking for individuals who are passionate about harnessing the power of data science and machine learning to solve complex business challenges and drive innovation. Roles & Responsibilities: Advanced Analytics: Develop and implement data analytics models, machine learning algorithms, and data pipelines. Problem Solving: Tackle challenging data science problems, from predictive modeling to natural language processing. Data-Driven Insights: Extract actionable insights from data, enabling data-driven decision-making across the enterprise. ML Model Development : Develop and deploy machine learning models and algorithms Stakeholder Communication: Effectively communicate to address complex business problems A/B Testing: Design and implement A/B testing methodologies to drive data-driven decision-making and product optimization Sharing technical concepts and insights to non-technical stakeholders, guiding them in making informed decisions Mentoring and leading a team of data scientists Participate and attend daily scrum calls and other project meetings Continuous learning, acquiring new skills and sharing knowledge pertaining to the field of data science Qualifications & Experience : A Master's or advanced degree in Data Science, Computer Science, Statistics, Engineering or a related field. Min 10+years with aound 7+ years of experience in Machine Learning , data science and delivering data-driven solutions in a corporate environment Strong proficiency in machine learning, statistical analysis, and data visualization. Expertise in programming languages such as Python. SQL expertise for data extraction, transformation, and analysis. Strong problem-solving and strategic thinking abilities. Excellent interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision Ability to collaborate effectively across cross-functional teams. Strong problem-solving and strategic thinking abilities. Show more Show less

We are looking for an experienced Azure Data Engineer to join our data engineering team. You will be responsible for designing, developing, and maintaining data pipelines and data platforms on Azure using modern tools and services including Microsoft Fabric, Azure Data Factory, Python notebooks, Azure Functions , and Data Warehouses . Your focus will be on building scalable, reliable, and secure data workflows that empower analytics and business intelligence. Key Responsibilities: Design and develop scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric . Implement data integration from diverse sources into centralized data warehouses or lakehouses (e.g., Fabric OneLake, Synapse). Build and operationalize Python notebooks for data transformation, enrichment, and machine learning preparation. Develop and deploy Azure Function Apps for lightweight compute tasks, API integration, or orchestration. Collaborate with analysts and business stakeholders to deliver high-quality, trustworthy data models. Implement best practices in data governance, security, version control, and CI/CD for data pipelines. Monitor pipeline performance and ensure high availability and reliability of data services. Contribute to architecture discussions and continuous improvement of the data platform. Required Skills & Experience: 3-5 years of hands-on experience in data engineering with strong Azure expertise. Proficiency in: Microsoft Fabric (Data pipelines, Lakehouse, shortcuts, etc.) Azure Data Factory (ADF) Python notebooks (in Synapse, Fabric, or Azure ML) Azure Functions / Function Apps Data Warehousing concepts and tools (e.g., Synapse SQL, Snowflake, Fabric DWH) Strong SQL skills for data extraction, transformation, and modeling. Good understanding of modern data architectures: medallion architecture, Lakehouse, and data mesh principles.