Data Scientist

Halyard Health; India; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Accendra Health is seeking a seasoned ML Engineer/Data Scientist to develop time series models and data pipelines. You will engineer features, optimize data models, and evaluate performance across cloud-based platforms including Google Cloud and Palantir Foundry.

The role emphasizes collaboration with business stakeholders, deployment on production systems, and ongoing model monitoring to ensure alignment with forecasting objectives and operational needs.

Qualifications

• Proficient in Python, PySpark and SQL for data analysis and model development.
• Experience building time series forecasts and evaluating models with MAPE/RMSE/R2.
• Knowledge of data pipelines, ETL and large-scale data transformations.
• Hands-on cloud experience, especially Google Cloud services like BigQuery.

Responsibilities

• Develop and optimize ML models focusing on time series forecasting.
• Perform feature engineering and data model optimization for accuracy.
• Evaluate model performance using metrics and adjust strategies.
• Build data pipelines with PySpark, SQL and cloud-based solutions.
• Work on large-scale data integration using Boomi, SnapLogic, SSIS, Palantir.
• Utilize Palantir Foundry, Google Cloud and AutoAI for modeling and automation.
• Design data warehouse solutions to support analytics and BI.
• Transform data with complex SQL queries to support AI initiatives.
• Collaborate with stakeholders to align models with business goals.
• Deploy and monitor ML models in production; communicate findings clearly.

Skills

Python

PySpark

SQL

Forecasting

ARIMA

Prophet

LSTMs

ETL

Cloud computing

BigQuery

Vertex AI

AutoAI

Colab

Tools

Boomi

SnapLogic

SSIS

Palantir Foundry

Palantir

Job description

At Accendra Health, we understand that healthcare is complex, and we’re here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you’re interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™.

Key Responsibilities

• Develop and optimize machine learning models with a focus on time series forecasting and predictive analytics.
• Perform feature engineering and data model optimization to enhance model accuracy and efficiency.
• Continuously evaluate model performance using metrics such as MAPE, RMSE, R², and adjust strategies accordingly.
• Build and implement data pipelines using PySpark, SQL, and cloud-based solutions for seamless data integration.
• Work on large-scale data integration projects, leveraging tools such as Boomi, SnapLogic, SSIS, or Palantir to extract, transform, and load data.
• Utilize Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and automation.
• Design and maintain data warehouse solutions to support advanced analytics and business intelligence.
• Perform complex data transformations using SQL queries and data objects to support AI/ML-driven initiatives.
• Collaborate closely with business stakeholders to ensure models align with user expectations and business objectives.
• Deploy, monitor, and continuously improve machine learning models in production environments.
• Communicate technical findings and insights effectively to both technical and non-technical audiences.

Required Skills & Qualifications

• Proficiency in Python, PySpark, and SQL for data analysis, feature engineering, and model development.
• Expertise in time series forecasting models, including ARIMA, Prophet, LSTMs, and ML-based approaches.
• Strong experience in data model optimization, feature engineering, and performance evaluation.
• Deep understanding of ML model evaluation metrics and best practices in improving model accuracy.
• Hands-on experience in data engineering, working on data pipelines, ETL, and data transformation projects.
• Experience using Boomi, SnapLogic, SSIS, or Palantir for data integration.
• Proficiency in cloud computing, particularly Google Cloud (BigQuery, Vertex AI, Cloud Functions, etc.).
• Experience with Palantir Foundry for data processing, analysis, and visualization.
• Ability to optimize and query large-scale datasets using data lakes and relational databases.
• Familiarity with AutoAI for automated model selection and hyperparameter tuning.
• Experience with Google Colab for collaborative machine learning development.
• Excellent problem-solving and communication skills, with the ability to convey complex concepts to business stakeholders.

Preferred Qualifications

• Experience with MLOps for continuous deployment, monitoring, and retraining of ML models.
• Knowledge of business intelligence and reporting tools for data visualization.
• Background in supply chain, logistics, or operational forecasting.
• Experience in both batch and real-time data processing architectures.
• Ability to optimize SQL queries and data transformations for performance improvements.
• Familiarity with object-oriented programming languages such as C#, Java, or JavaScript (not required but beneficial).

Accendra is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.