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Data Scientist
Data Scientist
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Data Scientist

Eman Khan's profile picture
Posted by Eman Khan
4 - 9 yrs
Best in industry
Remote, Pune
Skills
skill iconMachine Learning (ML)
skill iconPython
SQL
PySpark
XGBoost

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.


Data Axle Pune is pleased to have achieved certification as a Great Place to Work!


Roles & Responsibilities:

We are looking for a Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.


We are looking for a Senior Data Scientist who will be responsible for:

  1. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
  2. Design or enhance ML workflows for data ingestion, model design, model inference and scoring
  3. Oversight on team project execution and delivery
  4. If senior, establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
  5. Visualize and publish model performance results and insights to internal and external audiences


Qualifications:

  1. Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
  2. Minimum of 3.5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
  3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
  4. Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
  5. Proficiency in Python and SQL required; PySpark/Spark experience a plus
  6. Ability to conduct a productive peer review and proper code structure in Github
  7. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
  8. Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.


It is not intended to be a complete list of assigned duties but to describe a position level.

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About Data Axle

Founded :
1972
Type :
Services
Size :
1000-5000
Stage :
Profitable

About

Data Axle is a product company that offers various data and technology solutions, including software-as-a-service (SaaS) and data-as-a-service (DaaS). These solutions help businesses manage and leverage data for marketing, sales, and business intelligence.


They are data-driven marketing solutions provider that helps clients with clean data, lead generation, strategy development, campaign design, and day-to-day execution needs. It solves the problem of inaccurate and incomplete data, enabling businesses to make informed decisions and drive growth. Data Axle operates in various industries, including healthcare, finance, retail, and technology.


About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global center of excellence in Pune. This center delivers mission

critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.


Data Axle India is recognized as a Great Place to Work!

This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.

Read more

Tech stack

skill iconPython
skill iconDjango
skill iconFlask
skill iconReact.js
skill iconAngularJS (1.x)
GraphQL
skill iconAmazon Web Services (AWS)

Candid answers by the company

What does the company do?
What is the location preference of jobs?

Data Axle is a product company which offers various data and technology solutions, including software-as-a-service (SaaS) and data-as-a-service (DaaS).


They helps clients create a foundation of clean data, find new leads, develop winning strategies and design beautiful campaigns.

Company social profiles

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● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.

Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
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● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
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