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Azure Data Scientist
2 months ago
We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem.
Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum by reporting $291.71M revenue in Q2FY24, delivering 14.1% Y-o-Y growth. Our 22,800+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We're also pleased to share that Persistent won the 2023 Golden Peacock Award for Excellence in Corporate Governance within the IT sector. Acknowledging our cloud expertise, we were named a Challenger in the 2023 Gartner Magic QuadrantTM for Public Cloud IT Transformation Services. Throughout this market-leading growth, we've maintained strong employee satisfaction - over 94% of our employees approve of the CEO, and 89% would recommend working at Persistent to a friend.
About the Role**Job Summary:**
We are seeking an experienced Azure Data Science Engineer to join our team at Persistent Systems. As a key member of our cloud engineering team, you will be responsible for designing, implementing, and managing data science and machine learning solutions using Microsoft's Azure platform.
**Key Responsibilities:**
- Design and implement data science and machine learning solutions using Azure services such as Azure Container Apps, Azure Kubernetes Services (AKS), and Azure DevOps.
- Work with cross-functional teams to integrate data science solutions with other Azure services and applications.
- Collaborate with data engineers and scientists to develop and deploy data pipelines and machine learning models.
- Develop and maintain high-quality code using Azure DevOps tools and practices.
- Participate in code reviews and contribute to the improvement of the team's coding standards and best practices.
**Requirements:**
- 3+ years of experience in data science and machine learning with a focus on cloud-based solutions.
- Strong experience with Azure services, including Azure Container Apps, AKS, and Azure DevOps.
- Proficiency in programming languages such as Python, R, or Julia.
- Experience with data engineering and data science tools such as Apache Spark, Hadoop, and TensorFlow.
- Strong understanding of cloud computing concepts and architectures.
- Excellent communication and collaboration skills.
**What We Offer:**
- Focused on talent development with quarterly assessment cycles and company-sponsored certifications.
- Working with cutting-edge technologies.
- Engagement initiatives such as project parties, flexible work hours, Persistent Business Run.
- Private medical and dental care at Medi cover for an individual, partner and family.
- Life and accident insurance at Allianz covering an individual, partner and family Pension plans (PPK).
- Group personal accident and travel insurance
- Work from home allowance.
- Reimbursement of expenses related to home office.
- Reimbursement of costs for purchasing glasses/contact lenses.
- My Benefit Systems/Multicafateria/Multisport cards.
- Reward and recognition awards.
- Employee referral rewards.
**Our Culture:**
- Grow both professionally and personally.
- Change the world in powerful, positive ways, using the latest technologies.
- Work on collaborative innovation, with diversity and work-life wellbeing at the core.
- Have access to global opportunities to work and learn with the industry's best talents.
