Job Details

City:
Dhaka
Job Location:
Bangladesh
Contract Type:
Full time
Job category:
IT / Software

Company Details

Company industry:
Transportation / Storage
Company Type:
Employer (Private Sector)
No. of Employees:
21-50

Preferred Candidate

Career level:
Entry level
Degree:
Master's degree
Minimum years of experience:
2-5 years

Professional Skills

Masters, Scientist, Data

Language Skills

Job Description

Pathao is the fastest growing technology company in Bangladesh solving some of thecountry’s most challenging problems in logistics and transportation. We are dreamers,scientists, operators, and entrepreneurs. Our culture is progressive, non-hierarchical,meritocratic, and collegial. We are looking for high achievers who will go above and beyondtheir job descriptions to fulfil a shared vision.

If you are entrepreneurial, seek to changesociety with technology, and want to super-charge your career out of the regular 9 to 5, thenPathao is the place for you. Our Data Science team will be partnering with the product and engineering teams to driveactionable data insights and solutions from some of the Bangladesh's most interesting datasets. We are looking to work on every aspect of the product - whether it's exploratory research to understand user behaviour for drivers and customers, running experiments to optimize untapped areas of growth, or developing machine learning models to mitigate fraud on our platform. The perfect candidate will have an excellent quantitative background, will beable to address abstract business and engineering problems with extreme precision, andhas the enthusiasm and initiative necessary to deliver those answers in a fast paced and dynamic environment.

Position Requirements

Educational Requirements:

 Course of study in Statistics, MS or PhD preferred

Tasks and Expectations from this role are as follows:

Behavioural:

  • Develop a deep behavioural understanding and intuition of our passengers and drivers based on econometric analysis, geo-spatial visualizations, user interviews, and cultural understanding of our relevant markets
  • Translate these intuitions into actionable, creative insights that improve the passen-ger and driver experience
  • Test and validate these insights via rapid experimentation and deployment
  • Communicate analysis and insights to stakeholders, and work effectively with techand product teams to translate validated insights into deployable products User Trust
  • Develop a deep behavioural understanding and intuition of our passengers and drivers, especially in the space of how they would violate our policies and game our systems
  • Apply heuristics, machine learning and data mining algorithms to predict default rate, identify and take down those who violate our Terms of Services
  • Test and validate these insights via rapid experimentation and deployment
  • Manage and own the entire end to end lifecycle of designing models, working with Engineering for implementation, to maintenance and enforcement
  • Generate multivariate statistical models to identify latent factors, preventive and pre-emptive capabilities that the trust framework requires
  • Interface with business & operation teams to formulate solutions & product changes informed by your findings
  • Own the credit scoring model: Responsible for the end-to-end cycle of model building, model deployment, model interpretation
  • Own the credit portfolio management system and success metrics: Responsible for continual tracking and reporting of portfolio risk exposureMachine learning
  • Build, validate and deploy machine learning models (e.g. predictive, forecasting, clustering)
  • Be the technical expert in the team, and guide the team on best practices
  • Deploy an online learning model where applicable
  • Gain access to lot of structured data, and develop creative algorithms by mining that data
  • Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them
  • Contribute to team’s innovation and IP creation Operations Research
  • Identify and solve business-wide problems using a combination of Big data and Operations Research (OR) techniques
  • Build, validate, test, and deploy models and algorithms using proven and experimental techniques
  • Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them
  • Develop creative algorithms by employing OR techniques
  • Translate data speak to human speak by effectively conceptualizing analysis to teammembers and business stakeholders Preferred Attributes:
  • Position and compensation commensurate on experience Course of study in Statistics, MS or PhD preferred
  • Research mindset - ability to structure a project from idea to experimentation to pro-totype to implementation.
  • Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL,STATA
  • Programming experience a plus.
  • Prior experience working with ridesharing data a major plus

Experience Requirements:

  • Minimum 2 years of practical data science or engineering work experience out of school.
  • Compensation: 80k to 200k depending on experience and fit

About the Company

Pathao is the fastest growing technology company in Bangladesh solving some of the country’s most challenging problems in logistics and transportation. We are dreamers, scientists, operators, and entrepreneurs. Our culture is progressive, non-hierarchical, meritocratic, and collegial. We are looking for high achievers who will go above and beyond their job descriptions to fulfil a shared vision. If you are entrepreneurial, seek to change society with technology, and want to super-charge your career out of the regular 9 to 5, then Pathao is the place for you.

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