India Health Action Trust - Specialist - Data Science

India Health Action Trust (IHAT) was instituted in 2003 as a Charitable Trust with a vision to meaningfully impact the lives of vulnerable and marginalised people by addressing health and social inequities. The Trust is working towards reducing inequities by developing comprehensive and sustainable programmes to improve population health. Since its inception, IHAThas been working closely with the Government of India and different state governments, including Uttar Pradesh, Madhya Pradesh, Karnataka, Rajasthan, Delhi and Bihar, to achieve public health goals.

IHAT's work is focused on the areas of prevention and control of HIV and Tuberculosis, in achieving significant improvements in Reproductive, Maternal, Neonatal and Child Health, improved Nutrition among mothers and children, and strengthening health systems. IHAT uses program science to optimise and scale public health programs while partnering with governments and communities.

For more information about IHAT, please visit https ://www.ihat.in/

Job Description/ Responsibilities

The Specialist Data Science (SDS) will report to the Deputy Director Data Science and support the data science initiatives of the Department of Health and Family Welfare and the Department of Medical Education, Uttar Pradesh, to improve public health. The SDS will work closely with cross-functional organizations and teams, including government officials, vendors, IHAT teams, and other partner organizations of IHAT, to identify data science opportunities, develop strategies, and implement innovative data science solutions to enhance the public health system.

Key Roles And Responsibilities

• Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
• Apply statistical methods, machine learning algorithms, and data mining techniques to design data-driven solutions.
• Optimize data models and processes for performance and scalability.
• Ensure data accuracy, consistency, and integrity in all solutions
• Developing end-to-end data science-related projects at IHAT;
• Collaborating with vendors to implement large scale data science products for public health;
• Taking ownership of the complete lifecycle of data science products, from conception to rollout, encompassing capacity building of end users and related activities;
• Design and implement model deployment strategies, including containerization, API development, and integration with production systems.
  
  

Qualifications, Experience And Competencies

Qualifications and Experience :

• A master degree or higher such as PhD, M. Tech., MCA, MSc. relevant to Digital/Information Technologies, Computer Science/ Data Science/ Computer Applications, or its equivalent;
• Minimum of three to five years of professional experience in advanced machine learning, deep learning, and AI techniques is essential;
• Leadership experience in managing data science teams or projects, and/or working with data science teams in government organizations, shall be preferable.
  
  

Skills And Competencies

• Proficiency in Python, SQL and Excel is required;
• Expertise in machine learning and deep learning techniques specifically in image processing, predictive modeling, natural language processing, and data mining is essential;
• Experience in Android application programming will be an added advantage;
• Good knowledge of version control, continuous delivery, unit testing, documentation, and release management;
• Knowledgeable about cloud-based platforms (AWS, Google Cloud Platform, Azure) and GPU acceleration for scalable model development.
  
  

IHATs Values In Practice

• Community Centric : It is the communities IHAT serves and the community at IHAT that drives it forward;
• Think Sustainability : IHAT believes in engaging with the government and communities to scale up and sustain positive outcomes;
• Scientific and Innovative : IHAT relentlessly pursues scientific rigour and adapts its work in the face of new evidence. It encourages out-of-the-box thinking and challenges itself to do better;
• Interdisciplinary : IHAT foster discussion, debate and deliberation across disciplines to arrive at the best possible solution.
  
  

(ref:hirist.tech)