Data Analytics - Demand Forecast Model Designer(HealthCare) (offline)

We are Instandart, and we specialize in software development. Our mission is to provide innovative solutions that help automate our client’s business and make processes easier and more effective.

Due to our recent decision to increase the number of staff at our company, we are looking for a Data Analytics - Demand Forecast Model Designer with experience in the HealthCare domain for long-term cooperation.

Company Overview:

Our enterprise analytics platform empowers stakeholders in the healthcare sector to deliver better care through actionable insights. Leveraging cutting-edge statistical modeling and machine learning techniques, we utilize comprehensive datasets to improve patient outcomes and operational efficiency.

Position Overview:

We are looking for a seasoned professional with expertise in designing predictive demand forecasting models specifically tailored for the healthcare sector. This individual possesses extensive experience in leveraging data analytics, statistical modeling, historical data, and industry-specific insights to develop accurate and effective forecasting models that anticipate demand patterns for products and services within healthcare organizations.

Experience in the healthcare domain is very important!

Technical Skillsets:

Demonstrated proficiency in statistical analysis and modeling techniques, including time series analysis, and regression analysis.

Advanced knowledge of programming languages commonly used in data analysis and modeling, such as Python, R, or SQL.

Experience with data manipulation and cleansing techniques to ensure data quality and integrity for accurate modeling.

Familiarity with data visualization tools and techniques to communicate insights effectively, such as Tableau or Power BI.

Strong understanding of healthcare data sources and databases, including claims data, epidemiology, demographic information, and administrative datasets.

Ability to determine appropriate data sets and features for input into demand forecasting models, considering factors such as data availability, relevance, and predictive power.

Knowledge of forecasting software and tools tailored for healthcare applications.

Exposure to machine learning algorithms is nice to have.

Job Responsibilities:

Collaborate with stakeholders to understand business requirements and objectives for demand forecasting within healthcare organizations.

Design and develop predictive models to forecast demand for healthcare services, procedures, or resources based on historical data and relevant variables.

Utilize advanced statistical analysis to analyze complex healthcare and related data sets to identify predictive patterns and trends.

Evaluate model performance and accuracy using appropriate metrics and validation techniques, and iteratively refine models as needed.

Work closely with data engineers and analysts to extract, transform, and load (ETL) data from multiple sources for modeling purposes.

Communicate findings and insights from demand forecasting models to key stakeholders.

Understand how emerging trends and best practices in healthcare analytics and demand forecasting contribute to the continuous improvement of modeling methodologies.

InStandart offers:

Experienced and friendly colleagues who are ready to share knowledge;

Professional and career development;

Comfortable working environment;

Flexible schedule and remote work;

Paid vacation.

We will be glad to consider your application!