Associate Data Scientist - Delhi, India - SaveLife Foundation

Description

Role:
Sr. Associate Data Science


Location:
New Delhi


Key Partners:
Government of India, World
Red Cross, Rippleworks, Mulago Foundation, HDFC Ergo, IIT-KGP

Does the idea of creating a positive impact on our world excite you? Would you like to work in a tightly-knit team where mutual respect and integrity are among core values? Do you have what it takes to (manage, protect, and suggest improvements to data technology. Can you implement them to build and grow a life-saving organisation?

About SaveLIFE Foundation

SaveLIFE Foundation (SLF) is on a mission to save lives on roads across India. Since 2012, over

1.5 million people have been killed in road crashes in India and close to 5 million have been left seriously injured or permanently disabled.

Besides the insurmountable emotional trauma that thousands of families must suffer each year, road crashes deal a crushing economic blow to many families.

SLF is a fast-growing, specialised organisation with a proven track-record of delivering large-scale impact. We are best known for getting India its Good Samaritan Law and developing the "Zero

• Fatality Corridor" solution to transform dangerous highways into "safe ways". We are registered as a notforprofit organisation to ensure complete mission alignment.

Our teams work in a creative environment to build novel solutions and thrive on problem solving.

Over the last 15 years we have built unique strengths in areas such as forensic investigation of crashes, data analytics and predictive modelling, safety design and engineering, public policy formulation, and strategic communication and training.

We strive for excellence in everything we do and build leaders through opportunity and mentorship.

We are seeking a Sr.

Associate - Data Science who can help us in leading our data science projects from end-to-end, including framing problems, designing experiments, collecting and preparing data, building models, and deploying solutions.

They will also be responsible for researching new algorithms and technologies, and for developing prototypes for the data science team.

The role involves operational execution and maintenance. The position reports to an Associate Director

• Projects.

Role and Responsibilities

The Sr. Associate - Data Science at SaveLIFE Foundation will turn data into information, and this information into insights. You will work closely with different teams to develop and deploy research frameworks to support data-driven decision making. Different teams at SLF source, use, and analyse data as part of their work. You will ensure different projects are data-driven and help us re
- imagine transformational road safety solutions through robust data analysis.


Your responsibilities include:

• Support in data analysis and data coding.
• Work with project teams and different stakeholders to understand their requirements,

challenges, and opportunities of existing data sets.

• Develop management insights from the data using visual graphics and other techniques.
• Develop and implement databases, data analytics, and other strategies that optimize team efficiency.
• Identify new data sources and translate complex datasets into easily accessible and useful information that supports program objectives.
• Highlight data trends and analytic opportunities that can drive program innovations.
• Develop technical architecture, product specifications, processes, and tools to monitor and analyse model performance and data accuracy.
• Look after Network Security & Data Protection.
• Provide troubleshooting support as required by the team. Escalate to the external service provider and facilitate resolution of team problems, if required.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop and manage comprehensive research frameworks for different programs.
• Conduct quantitative (using Python, R, or other statistical tools) or qualitative (using software like Atlas TI or other tools) data analysis to model data.
• Serve as an active member of the organisation.

Professional Experience

• Overall 34 years of experience with appropriate qualification
• Excellent organizational and people management skills.
• Proven work experience as a Data Scientist.
• Experience with predictive modelling, machine learning, and data mining.
• Experience with testdriven development
• Proficiency in software deep learning tools
• Ability to document requirements and specifications
• Bachelor's degree in mathematics, computer science, statistics, or a related field.

Personal Characteristics

• Action, accountability, execution orientation, and ownership mentality.
• Hands on approach, solutionsoriented, strong problem solver.
• Strong ability to work across teams.
• Direct, clear, and concise communicator.

How to apply:

Job Types:
Full-time, Regular / Permanent


Salary:
Up to ₹700,000.00 per year


Schedule:

• Day shift

Ability to commute/relocate:

• Delhi, Delhi: Re