Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 77 days ago

Data Scientist

ClickPost12 open roles

Where
Bengaluru
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData ScientistClickPost · Bengaluru

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ClickPost's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 77 days ago

The posting

Role: Data Scientist

Department: Data Science

Location: Bengaluru [On-site]

Experience: 2 to 4 YOE

About ClickPost:

Since 2017, ClickPost has been the post-purchase intelligence platform that turns logistics complexity into a competitive advantage for the world's leading retailers, including Walmart, Nykaa, Mars, Adidas, Bluestone, GIVA, Kapiva, and 450+ brands across India, Southeast Asia, the Middle East, and North America. Through a single API, our platform manages tracking, exceptions, and returns across 600+ pre-integrated carriers, with AI allocating every shipment to the optimal carrier and resolving delivery issues before orders fail.

And we're not standing still. We're actively building the agentic layer for post-purchase, from AI voice agents like Parth to a growing suite of agents that resolve delivery exceptions, confirm orders, and recover lost sales. This is real, in-production AI, live with customers today.

We process 50M+ shipments every month, helping brands cut failed deliveries and "where-is-my-order" queries while converting more returns into exchanges.

We're one of the rare companies operating at the intersection of cutting-edge AI, enormous scale, and a brand respected across the global SaaS and e-commerce world. Our core values of transparency, continuous learning, ownership, and speed, plus a team that includes several ex-startup founders, make this a place that's both fast-moving and rich with opportunities to learn. Our vision is to become the global standard for post-purchase intelligence, where logistics complexity never limits a brand's growth.

About the Role:

  • We're looking for a Data Scientist to join our team and help turn one of the richest logistics datasets in the country into models and insights that directly improve how millions of shipments are delivered.
  • You'll work on real problems, predicting delivery dates, detecting and resolving delivery failures, estimating live ETAs, building recommendation and anomaly-detection systems, and surfacing insights that drive product and business decisions.
  • This is a high-ownership role. We're hiring across the 1 to 4 year range because we care more about how you think and how fast you learn than about years on paper.
  • You'll work closely with senior data scientists, engineers, and founders, and you'll own problems end-to-end, from exploring the data to shipping a model to production and measuring its impact.

What You'll Do:

  • Build, train, and evaluate machine learning and deep learning models for real logistics problems, delivery date prediction (EDD), delivery-failure (NDR) resolution, ETA estimation, ranking/recommendations, forecasting, and anomaly detection.
  • Explore large, messy, real-world datasets end-to-end: variable identification, data cleaning, feature engineering, dimensionality reduction, distance/similarity computation, and handling missing/imputed data.
  • Build and maintain data pipelines (batch & streaming) on Databricks using Spark, PySpark, and Delta Lake.
  • Write clean, well-documented code in Python (pandas, NumPy, scikit-learn, Matplotlib) for analysis, modeling, and production.
  • Deploy models to production and own their lifecycle, monitoring, validation, drift detection, and continuous improvement.
  • Design and run experiments (A/B testing, causal analysis), apply statistical analysis to measure impact, and translate results into actionable recommendations.
  • Partner with product, engineering, and business teams to turn ambiguous problems into well-scoped, measurable data science solutions.
  • Document methodology and models clearly; communicate findings to both technical and non-technical audiences.

Responsibilities / What We're Looking For:

  • 1 to 4 years of work experience in data science, machine learning, or a similar role (strong internships and projects count).
  • Proficiency in Python, SQL, Spark/PySpark, Artificial Intelligence, and Machine Learning.
  • Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, computer science, or another biological/physical science.
  • Knowledge of statistics and machine learning: regression, classification, clustering, and model evaluation.
  • Ability to manipulate, analyze, and interpret large datasets.
  • Strength in code documentation.
  • Proficiency in Git and code versioning tools (GitLab).
  • Proficiency in the Atlassian Suite such as JIRA and Confluence.
  • Familiarity with cloud computing (AWS, Google Cloud preferred; Azure also relevant).
  • Knowledge of dashboarding and visualization tools (Tableau, Power BI, Plotly, Spotfire).
  • Strong problem-solving and analytical skills, you can break an ambiguous business problem into a working system.

Technologies You May Work With:

  • Languages: Python, SQL, Java
  • Data platforms & big data: Databricks, PySpark, Apache Spark, Delta Lake, structured streaming, Kafka, BigQuery, S3/ADLS, Airflow, Hive, Flink
  • ML / DS libraries: pandas, NumPy, scikit-learn, XGBoost; models incl. logistic regression, random forests, SVMs, CNNs/RNNs, transformers, etc.
  • Deep learning frameworks: PyTorch, TensorFlow, JAX
  • NLP & techniques: tokenization, n-grams, phonetics, fuzzy matching, similarity scoring, embeddings, NER
  • GenAI / LLMs: LLMs (GPT, Claude, Llama), prompt engineering, fine-tuning, RAG, LangChain, LlamaIndex, agentic workflows (LangGraph, CrewAI, AutoGen)
  • Computer vision: OCR, image segmentation, object detection, ViT/CLIP (nice-to-have)
  • Cloud & MLOps: AWS (SageMaker, Bedrock), Google Cloud (Vertex AI), Azure ML, Docker, Kubernetes, FastAPI, CI/CD, feature stores, model registries, model monitoring & drift detection
  • Visualization: Tableau, Power BI, Plotly, Spotfire, Matplotlib
  • Tooling & collaboration: Git/GitLab, JIRA, Confluence
  • Data modeling & governance: star schema / dimensional modeling, data warehousing / lakehouse, data quality, lineage, observability

Soft Skills:

  • Self-motivation and the ability to handle multiple competing priorities in a fast-paced environment.
  • Strong interpersonal skills and the ability to build effective relationships with team members, including remotely.
  • A bias for ownership and speed, you ship, measure, and iterate.

What You Can Expect:

  • Ownership and autonomy: You'll own and drive problems end-to-end, with no micro-management.
  • Culture: We value speed and expect you to move fast and stay updated with the latest in ML and AI. People grow extremely fast at ClickPost when they focus on impact and take initiative.
  • Our team thrives on transparency.
  • Compensation: Competitive salary plus performance bonus.

Benefits:

  • Health insurance
  • Generous leave policy
  • Learning and development budget
  • Team events and company offsites
  • Company laptop and devices
  • Maternity and paternity benefits
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against ClickPost's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on ClickPost's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    ClickPost's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.