Carsome

Your Day-to-Day

1. Derive Insights and drive major strategic projects to improve Business Metrics and take responsibility for cost efficiency and Revenue management across the country
2. Perform Market research, Post Mortem analyses on competitor expansion and Market Penetration patterns. 
3. Provide in-depth business analysis and data insights for internal stakeholders to help improve business. Derive and launch projects in order to reduce the gaps between targeted and projected business metrics
4. Responsible for optimizing Carsome’s C2B and B2C customer acquisition and Dealer retention funnel. Work closely with Marketing and Tech teams to create, produce and implement creative digital marketing campaigns and drive CRM initiatives and strategies 
5. Analyse the Revenue flows and processes large datasets to gather process insights and propose process improvement ideas for Carsome across SE-Asia
6. Lead commercial projects & process mapping, from conceptualization to completion, to build or re-engineer business models, tools and processes.
7. Having experience in analyses and insights in dealing on Unit Economics, COGs and P&L will be preferred ,but not mandatory
8. Use Business Intelligence and Data Science tools to answer the appropriate business problems using SQL, Tableau or Python.
9. Coordinate with HQ Data Insights Team and manage internal stakeholders across departments to ensure the smooth delivery of strategic projects
10. Work across different departments/functions (BI,DE, tech, pricing, finance, operations, marketing, CS,CX) and also on high impact projects and support business expansion initiatives

Your Know-Know

• At least a Bachelor's Degree in Accounting/Finance/Business or the equivalent. 
• 3-5  years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
• Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
• Must have SQL/PostgreSQL/Tableau Experience. 
• Excellent Market Research, reporting and analytical skills, including carrying out weekly and monthly reporting
• Holds experience in working with Data/Business Intelligence Team
• Analytical mindset with ability to present data in a structured and informative way
• Enjoy a fast-paced environment and can align business objectives with product priorities
• Good to have : Financial modelling, Developing financial forecasts , development of Financial - strategic plan/framework

Your Day-to-Day

• Assist our Growth Strategists in analyzing the results of A/B experiments.
• Analysis on customer engagement rates, customer acquisition projects ( ex. Churn rate prediction, Attribution etc. )
• Analyse marketing channel performance and Deep-dive reports to stakeholders and Management
• Building statistical experimentation templates for faster A/B outputs
• Work on forecasting models and assisting senior Management in creating frameworks on growth models

• Local implementation of marketing analytics projects related to improving marketing channels effectiveness, customer segmentation, campaign optimization, etc
• Monitor campaigns against key performance indicators (KPIs), be fully aware of trends and analytics, success and risks in order to achieve business objectives.

• Communicate complex ideas into understandable reports/documentation and this will include leveraging on leading software tools such as Tableau.
  
  

Your Know-Know

• 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
• Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
• Must have SQL/PostgreSQL/Tableau Experience. 
• Added advantage: Experience with Google Analytics, CRM (MoEngage, Braze,Leanplum).
• Preferred knowledge of statistical computer languages (Python / R, etc). 
• Analytical mindset with ability to present data in a structured and informative way
• Enjoy a fast-paced environment and can align business objectives with product priorities

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Carsome’s Data Department is on the lookout for a Data Scientist/Data Science Lead who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science.