Senior Data Science Engineer

Who We Are 

Pusula Kurumsal is a technology company that provides enterprise healthcare software platform and mobile solutions. For 10 years, we’ve worked at the intersection of healthcare and information technology to connect people and systems. We use the latest technology to create solutions that let communities and people engage in their own health. Whether they are supporting the clinical, financial or operational areas of a hospital or health system, our tools are designed to work for today and think for tomorrow. 

It’s our mission to relentlessly seek breakthrough innovation that will shape healthcare of tomorrow. And we believe that what we do doesn’t just impact healthcare – it impacts the world. It’s why, more than ever, healthcare is too important to stay the same. 

Job Description: 

We are seeking a highly skilled Senior Data Science Engineer with strong Python backend development experience to join our team. The ideal candidate will have a deep understanding of data science methodologies and machine learning algorithms, coupled with the ability to design and implement scalable backend systems. This role offers the opportunity to work on cutting-edge projects that drive significant business impact. 

Responsibilities 

• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems. 
• Perform data exploration, feature engineering, and predictive modeling. 
• Design, build, and maintain scalable backend services and APIs using Python frameworks. 
• Integrate machine learning models into production environments with a focus on performance and reliability. 
• Create and optimize data pipelines for ETL processes. 
• Work closely with data engineers to ensure seamless data flow and integrity. 
• Collaborate with product managers, software engineers, and stakeholders to align data science initiatives with business goals. 
• Provide technical leadership and mentor junior team members. 
• Present insights and recommendations through dashboards and reports using visualization tools. 
• Communicate complex analytical results to non-technical audiences. 
• Stay updated with the latest developments in data science and backend technologies. 
• Propose innovative solutions to enhance existing systems and processes. 

Qualifications 

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 
• Minimum of 5 years of professional experience in data science or related roles. 
• Proven experience in backend development using Python. 
• Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch. 
• Strong experience with Python web frameworks like Django, Flask, or FastAPI. 
• Solid understanding of RESTful API design and microservices architecture. 
• Experience with SQL and NoSQL databases. 
• Familiarity with version control systems like Git. 
• Expertise in statistical analysis, machine learning algorithms, and predictive modeling. 
• Ability to process, clean, and verify the integrity of large datasets. 
• Excellent problem-solving abilities and attention to detail. 
• Strong communication skills, both written and verbal. 
• Ability to work independently and collaboratively in a team environment. 

Preferred Qualifications 

• Ph.D. in Data Science, Machine Learning, Computer Science, or related disciplines. 
• Experience with cloud platforms such as AWS, Azure, or Google Cloud. 
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. 
• Familiarity with big data technologies such as Hadoop or Spark. 
• Experience with CI/CD pipelines and DevOps practices. 
• Relevant certifications in data science, machine learning, or cloud computing. 
• Experience in [insert specific industry, e.g., finance, healthcare, e-commerce], including knowledge of industry-specific data and regulations. 

What We Offer? 

• Hybrid working opportunity, (office 3 days a week) 
• Meal Card assistance, 
• Private Health Insurance support, 
• Travel Fee & Work from Home support, 
• Fun motivational events, special day celebrations, 
• Breakfast in the office every Monday.