Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
About the role
- Full Stack Data Scientist I/II involves building models and working with clients for social impact. Join IDinsight's data science team in tackling global development challenges.
Responsibilities
- Work with project teams and clients to use advanced analytics to drive social impact
- Build models that help locate out-of-school children, LLM-powered co-pilot for teachers or healthworkers, or agentic solutions to help citizens access benefits
- End-to-end involvement: from problem scoping and tool design, to deployment, and providing hands-on support to partners
- Collaborate closely with multidisciplinary teams to create practical tools that solve urgent problems
- Dedicate 10% of time to learning new skills and side projects
Requirements
- Proficiency working in Python is required
- Proficiency in understanding and coding standard supervised and unsupervised machine learning algorithms and components of the data science pipeline - data cleaning, feature selection, cross-validation, parameter tuning, etc.
- Experience building solutions using Large Language Model
- Sound foundations in statistics and probability
- Working knowledge of SQL
- B.S./B.S.E. degree in Applied Math, Data Science, Computer Science, Physics, or a Similar Technical Field
- Proven ability to work alone and with teams in a dynamic, multicultural environment
- Passion for improving lives through evidence-informed policy
- Strong oral and written communication skills in English
- Fluency in languages spoken in countries where IDinsight works is a plus.
- Strong values aligned with IDinsight’s stated values.
- Ability and interest in sharing knowledge, mentoring others, presenting work and reviewing the work of others.
- Deeply passionate about global development and improving lives in disadvantaged populations.
- Open-minded self-starter who will thrive while tackling new, unusual and unpredictable challenges.
Benefits
- Professional development opportunities
- Strong mentorship
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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