Carsome
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Jobs at Carsome
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Python
Amazon Web Services (AWS)
Django
FlaskResponsibilities: - Write and maintain production level code in Python for deploying machine learning models - Create and maintain deployment pipelines through CI/CD tools (preferribly GitLab CI) - Implement alerts and monitoring for prediction accuracy and data drift detection - Implement automated pipelines for training and replacing models - Work closely with with the data science team to deploy new models to production Required Qualifications: - Degree in Computer Science, Data Science, IT or a related discipline. - 2+ years of experience in software engineering or data engineering. - Programming experience in Python - Experience in data profiling, ETL development, testing and implementation - Experience in deploying machine learning models
Good to have: - Experience in AWS resources for ML and data engineering (SageMaker, Glue, Athena, Redshift, S3) - Experience in deploying TensorFlow models - Experience in deploying and managing ML Flow
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PythonYour Day-to-Day
- Derive Insights and drive major strategic projects to improve Business Metrics and take responsibility for cost efficiency and Revenue management across the country
- Perform Market research, Post Mortem analyses on competitor expansion and Market Penetration patterns.
- 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
- 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
- Analyse the Revenue flows and processes large datasets to gather process insights and propose process improvement ideas for Carsome across SE-Asia
- Lead commercial projects & process mapping, from conceptualization to completion, to build or re-engineer business models, tools and processes.
- Having experience in analyses and insights in dealing on Unit Economics, COGs and P&L will be preferred ,but not mandatory
- Use Business Intelligence and Data Science tools to answer the appropriate business problems using SQL, Tableau or Python.
- Coordinate with HQ Data Insights Team and manage internal stakeholders across departments to ensure the smooth delivery of strategic projects
- 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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonYour 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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Machine Learning (ML)PythonCarsome’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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)Data SciencePythonCarsome’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.
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About the company
Tech Prescient delivers cutting-edge software product development and technology services, with a core focus on Identity and Data solutions for modern enterprises.
At the forefront of Digital Engineering and Enterprise Modernization, we accelerate innovation with our AI powered platforms, Identity Confluence and Data Confluence.
With deep technical expertise and domain insight, we help enterprises unlock smarter, faster, and more secure outcomes built for what's next.
Our vision is to be the most reliable and trusted technology partner for our customers. We aspire to be a globally admired company in our category and be recognized for speed of execution, quality of deliverables and high customer satisfaction.
We partner with our clients at all stages including ideation, design, development, testing, deployment, and support.
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About the company
About Us
Incubyte is an AI-first software development agency, built on the foundations of software craft, where the “how” of building software matters as much as the “what”. We partner with companies of all sizes, from helping enterprises build, scale, and modernize; to pre-product founders bring their ideas to life.
Incubees are power users of AI across the SDLC for speed and efficiency. Guided by Software Craftsmanship values and eXtreme Programming practices, we bring velocity together with the discipline of quality engineering to deliver high-impact, reliable solutions – fast.
Guiding Principles
- Living and breathing our guiding principles on a daily basis is key to success at Incubyte:
- Relentless Pursuit of Quality with Pragmatism
- Striving for exceptional quality without losing sight of practical delivery needs.
- Extreme Ownership Taking full responsibility for decisions, work, and outcomes.
- Proactive Collaboration Actively seeking opportunities to collaborate and leverage the team’s collective strengths.
- Active Pursuit of Mastery Continuously learning, improving, and mastering the craft, never settling for ‘good enough’.
- Invite, Give, and Act on Feedback
- Creating a culture of timely, respectful, actionable feedback for mutual growth.
- Ensuring Client Success Acting as trusted consultants and focusing on delivering true value and outcomes for clients.
Job Description
This is a remote position
Experience Level
This role is ideal for engineers with 5+ years of total experience, including strong hands-on software development experience and 1+ year of technical leadership experience, with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
Role Overview
As a Senior Engineer, you’ll ensure that projects don’t just get built — they get shipped. You’ll be the driving force behind architecture design, technical decision-making, project delivery, and stakeholder communication.
A Senior Craftsperson is a multiplier for any team:
- Able to independently own ill-defined, highly ambiguous projects.
- Thinks holistically across Product, Design, Platform, and Operations to deliver highly impactful solutions.
- Shapes roadmaps to tackle complex problems incrementally.
- Raises the quality, correctness, and suitability of their team’s work, with visible impact across their business domain and beyond.
- Strong mentor, role model, and coach for other engineers.
If you take pride in shipping high-quality software, mentoring teams, and creating an environment where engineers can thrive, we’d love to hear from you.
What You’ll Do
- Lead projects end-to-end, from architecture to deployment, ensuring timely, high-quality delivery.
- Collaborate with Engineering and Product Managers to plan, scope, and break work into manageable tasks.
- Always know if the project can ship, with clear trade-offs when needed.
- Drive technical decisions with a shipping-first mindset and active participation in key meetings.
- Maintain deep knowledge of your services, identifying risks and creating mitigation strategies.
- Review code for quality and best practices, mentoring engineers to improve their craft.
- Communicate clearly with stakeholders, set realistic expectations, and build trust.
- Support and guide engineers, helping unblock issues and foster collaboration.
- Anticipate challenges, prepare fallback plans, and facilitate problem-solving.
- Keep documentation accurate, up-to-date, and accessible.
You will also:
- Lead highly ambiguous projects of critical business impact, balancing engineering, operational, and client priorities.
- Link technical contributions directly to business impact, helping the team and stakeholders align.
- Contribute meaningfully to team goals, with visibility into business objectives over multiple quarters.
- Ensure safe rollout of new features through incremental releases, monitoring, and metrics.
- Anticipate and mitigate risks across connected systems, ensuring minimal operational impact.
- Proactively improve system quality and longevity while leveling up those around you.
- Shape roadmaps, vision, and practices of the engineering discipline, influencing both your team and the wider business.
Requirements
What We’re Looking For
- 5+ years of software development experience, with strong architectural design skills.
- Strong hands-on experience with Python and PHP (must-have) and react.js (good-have).
- 1+ year in a technical leadership role, managing pods or cross-functional teams.
- Proficiency in system design, service ownership, and technical documentation.
- Strong experience with code reviews and quality assurance practices.
- Proven ability to communicate effectively with technical and non-technical stakeholders.
- Track record of delivering complex projects on time.
You will also bring:
- Ability to own large, complex projects with widespread impact.
- Demonstrated influence beyond the immediate team, shaping outcomes across a business domain.
- Strengths in stakeholder management and navigating complex scenarios.
- Skills in deliberate discovery to uncover unknowns and design solutions that succeed in real-world conditions.
Benefits
What We Offer
Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.
Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk.
Cutting-Edge Projects: Work on exciting projects with the latest AI technologies
Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.
Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind.
And More: Extra perks to support your well-being and professional growth.
Work Environment
- Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results.
- Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered.
- Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team.
Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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