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Data Scientist
Data Scientist
Applix's logo

Data Scientist

Ariba Khan's profile picture
Posted by Ariba Khan
3 - 9 yrs
₹20L - ₹37L / yr
Bangalore, India
Skills
Time series
SQL
Neural networks
Snow flake schema
ETL

Responsibilities:

Use quantitative methods such as business simulations, data mining, modeling, and advanced statistical techniques to solve problems. The Data Scientist contributes by serving as a technical lead for analytics initiatives of low‑to‑medium complexity or business impact and supporting high‑profile, enterprise initiatives such as the Engineered Value Chain. 


In this role, you will act as an individual contributor on analytic teams, partnering on cross‑functional projects, and guiding technical delivery. You will also mentor procurement professionals on the technical approaches used to solve problems presented by business units, service organizations, dealers, or customers. 

 

Job duties/Responsibilities include but not limited to:

  • Lead and deliver analytics initiatives by defining analytical approaches, building models, and translating insights into business actions for procurement and enterprise stakeholders. 
  • Develop, train, validate, and monitor predictive models using a broad set of machine learning/statistical methods to support targeted business outcomes. 
  • Design and implement ETL/data pipelines and integrate data sources to create safe, trusted datasets for reporting and analytics (including Snowflake and SQL-based workflows). 
  • Build executive-ready dashboards and decision tools (e.g., Power BI) that enable data‑driven leadership decisions. 
  • Apply data modelling best practices (conceptual, logical, physical models) and support integration/transformation patterns to analytics environments and warehouses. 
  • Partner cross‑functionally (Procurement, Digital/IT, Finance, operations stakeholders) to deploy analytics solutions into production and ensure adoption. 
  • Operate with strong data governance and operational rigor, including troubleshooting data issues, managing access/user needs, and supporting reliable analytics operations. 
  • Use modern engineering practices (e.g., GitLab/DevOps toolchains) to improve repeatability, scalability, and maintainability of analytics solutions. 

 

Must Have Skills

  • Strong AI/ML background across model development and validation, including methods such as time series, clustering, tree-based algorithms, generalized linear models, or neural networks.                           
  • Strong SQL + Snowflake proficiency for ETL, transformation, and analytics-ready datasets. 
  • Experience with cloud solutions, solution integration, IT operations, and data governance. 
  • Proficiency in Python programming language.
  • Proficiency in Prompt Engineering.
  • Experience with front-end technologies such as HTML, CSS, and JavaScript.
  • Experience with back-end technologies such as Django, Flask, or Node.js.
  • Solid grasp of database technologies such as MySQL, PostgreSQL, or MongoDB.
  • Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines
  • Proficiency in Machine Learning Operations.
  • Work with business, data scientists to ensure value realization, ROI on operationalization of models
  • Strong understanding of statistical analysis and machine learning algorithms.
  • Containerization, packaging of ML models
  • Experience with data visualization tools such as Power BI.
  • Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
  • Experience with Large Language Models (LLMs) and Natural Language Processing (NLP) technologies.

 

Good To Have Skills:

  • Experience with cloud-first and agile methodologies.
  • Strong understanding of statistical analysis and machine learning algorithms.
  • Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

 

 

Required Skill:

  • Degree in Computer Science, Business, Mathematics, Economics, Statistics, Engineering, or related field.  
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About Applix

Founded :
2022
Type :
Product
Size :
20-100
Stage :
Bootstrapped

About

Applix is building an AI-native Manufacturing Operating System (mOS) designed to drive Triple Zero performance - Zero Defects, Zero Delays, Zero Waste.


The platform unifies scheduling, root cause analysis, digital work instructions, and supply chain visibility into one intelligent system that helps factories operate in real time, not in hindsight.


Headquartered in Austin with presence in Chicago and Hyderabad, Applix partners with global manufacturers to modernize shop-floor execution through applied AI.


About the Team

Applix brings together operators, engineers, and AI specialists with deep manufacturing and supply chain expertise. The team works closely with enterprise customers, deploying practical, factory-ready solutions that deliver measurable operational impact from day one.


Milestones

  • Founded in 2022
  • Built the industry’s first AI-native Manufacturing Operating System (mOS)
  • Partnering with leading global manufacturers
  • Growing industry presence with 4,000+ LinkedIn followers
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Candid answers by the company

What does Applix do?
What is the location preference of jobs?
Who are some of Applix's clients?

Applix builds an AI-powered Manufacturing Operating System that helps factories run smarter and more efficiently.


Simply put, Applix uses artificial intelligence to help manufacturers reduce defects, avoid delays, and cut waste by improving scheduling, identifying root causes of issues, and giving real-time visibility across operations.

Company social profiles

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