About the Position

We are seeking a Data Scientist to join our team in India, working remotely. The ideal candidate will understand complex and critical business problems, design and apply integrated analytical approaches to explore data sources, and employ statistical methods and machine learning algorithms to help address unmet medical needs. The role also involves discovering actionable insights and automating processes to reduce effort and time for repeated use.

Responsibilities

End-to-End ML Development: Design, build, and deploy machine learning models using AWS services (e.g., SageMaker, Lambda, EC2).
Cloud-Based Data Engineering: Manage data pipelines and lifecycle using AWS tools; ensure clean, structured, and accessible data for analytics.
Dashboard Creation & Insights: Develop interactive dashboards using Amazon QuickSight to communicate insights and support decision-making across teams.
Business Problem Solving: Translate complex business questions into analytical frameworks and technical solutions.
Cross-Functional Collaboration: Partner with clinical study teams, product managers, and engineers to integrate data-driven insights into product development.
Automation & Scalability: Build reusable components and automated workflows to reduce manual effort and accelerate analytics delivery.
Storytelling with Data: Present findings through compelling visualizations and contextual narratives tailored to diverse stakeholders.

Requirements

Higher education in Computer Science, Statistics, Machine Learning, Data Science, or a related quantitative field.
Strong programming skills in Python (with libraries like Scikit-learn, Pandas, and NumPy) and SQL.
Proven experience with AWS services (Airflow, SageMaker, Redshift, DynamoDB, S3, Kinesis, Lambda, Event Bridge).
Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.
Proven experience with database technologies and a deep understanding of data lifecycle management.
Experience of working collaboratively within multidisciplinary data science teams and delivering results in a timely way.
Skilled in business requirements analysis with the ability to translate business information into technical specifications.

Nice to Have

Demonstrable knowledge and skills in one of the following domains: machine learning, deep learning, natural language processing (NLP), or the design of clinical trials.
Familiarity with big data frameworks like Spark or Hadoop.
Experience with advanced machine learning libraries such as TensorFlow, PyTorch, or Scikit Learn.
Familiarity with MLOps concepts and experience with tools for productionizing machine learning models.

We Offer

Opportunity to work with a global full-service company at the cutting edge of the latest application development and data management technologies.
Join an always-growing company to operate on the cutting-edge of information technologies, cloud services, application development, and digital infrastructure.
Work with a team dedicated to helping hundreds of organizations with architecting cloud solutions, developing web and mobile applications, optimizing complex data workloads, and managing workloads on an ongoing basis.

About the Company

ABCloudz is a global full-service company operating at the cutting edge of the latest application development and data management technologies. At ABCloudz, we believe optimal data environments are the greatest competitive advantage, and our Solutions Architects have experience with building enterprise-grade systems.

Our mission is to help businesses accurately, efficiently, and reliably build, move, and manage data workloads. The trusted ABCloudz team now has hundreds of employees in five countries, including our headquarters in Redmond, Washington, and offices in San Francisco, Israel, Poland, and Ukraine.

Our expertise covers all major cloud and on-premises and databases, including Oracle, SQL Server, Azure, AWS, and GCP solutions. Our prolific developers are focused on delivering the best possible digital solutions leveraging our expertise with BI, Advanced Analytics, AI, Big Data, IoT, DevOps, and Managed Services.

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Data Scientist

Job description