Job Opportunity for Research Analyst (TFT – Sustainable Mobility) at CEEW in New Delhi

Terms of reference

At CEEW, we are deliberate about what we stand for (and what we don’t stand for!) as an employer. So, if the below description strikes a chord, we would love to hear from you!

At CEEW, we build careers in public policy

• We offer strong visionary leadership – with emphasis on research and impact at scale
• We actively promote leadership by initiative
• We celebrate talent and ambition
• You will be surrounded by smart people who will challenge you and help you grow
• You will learn faster than your peers in other organisations
• Curiosity and irreverence, as well as responsibility, come together at CEEW
• You will get above-market remuneration
• We provide a safe space for all
• At CEEW, your life is your example for others

Designation offered

Research Analyst 

Team/ Focus area

Sustainable Mobility — Data analyst 

Location

New Delhi, India

Reporting to

Senior Programme Lead

Purpose

CEEW seeks to hire a Research Analyst with exceptional computer programming skills to join the Mobility team. The role will be crucial to further raise the bar of CEEW’s research work by carrying out big data analyses relevant to sustainable mobility. The candidate will support CEEW’s work on researching key problems crippling urban transport in Indian cities by developing cutting-edge, scalable, Intelligent Transport Systems (ITS) solutions and tools using computer visioning (CV), machine learning (ML) and artificial intelligence (AI) for city governments and the larger public. The candidate will get exposure to the inner workings of one of India’s leading think tanks and will have the opportunity to understand the stakeholders that play a key role in the mobility space.

The candidate must have experience in the application of tools using ML/AI (eg. MATLAB, Python etc. ), and visualising spatial data using Geographic Information Systems (e.g., ArcGIS, QGIS). S/he should be familiar with geospatial libraries such as GDAL and rasterio. 

The candidate should demonstrate the ability to work across teams and manage multiple priorities and should be detail-oriented and committed to adhering to timelines. In addition to the duties and responsibilities below, the individual should be prepared, as and when necessary, to take on additional responsibilities.

Job duties and accountabilities

• Conduct analyses involving combination of multiple complex data layers, network analysis and detailed visualisation of the outputs. These data layers will include information on public transit, socio-economics of population, people movement, road-safety, pollution, congestion, land-use, and survey data.
• Support team in ITS and mobility planning, especially multimodality, seamless integration of PT (public transport) and IPT (intermediate public transport) networks using alternative data sources and analysis.
• Support developing predictive models/tools using ML and AI and thereby exposure to creating training datasets and deep learning models.
• Carry out data integration, and interact with professionals from the sector to advocate for the research and tools developed.
• Assist the team in generating snackable insights and compelling data visuals for the organisation’s social media platforms.

Selection Criteria

Qualification

• Bachelor’s/Master’s degree, preferably in Technology/Engineering/Economics
• Relevant experience in programming languages, such as Python, SQL, R, and/or others (e.g. application of programming languages for academic projects, internships, personal projects).

Work experience

0–3 years of experience

Key skills

• High proficiency in Python programming
• Proficiency in SQL programming
• Proficiency in R programming
• Competency in Computer visioning/ AI/ ML, basics of QGIS/ ArcGIS

If you are passionate about applying your programming skills to solve real-world mobility problems, we would like to speak to you. If you can unravel the complexities of big data into meaningful outcomes, then we would definitely consider hiring you! If you can collaborate closely with others to make this happen, you are probably the only candidate we are looking for! 

CEEW operates in a dynamic environment and the candidate must show flexibility in various tasks.

Compensation

Competitive compensation – commensurate to the experience and matching the best of standards adopted by industry or other similar organisations for similar roles.

Application Process

CEEW is an equal opportunity employer and the selection process does not discriminate based on age, gender, caste, ethnicity, religion, or sexuality. Female candidates are encouraged to apply.

Applications will be reviewed on a rolling basis. Interested applicants are advised to apply at the earliest possible.

Only shortlisted candidates will be notified by us. We appreciate your interest.