data scientist - program embedded

at mazosol

data scientist - program embedded

mazosol

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data scientist - program embedded

at mazosol

Posted by kirthick murali

10 - 20 yrs

₹30L - ₹58L / yr

Mumbai

Skills

Python

R Programming

PySpark

Google Cloud Platform (GCP)

SQL Azure

Data Scientist – Program Embedded

Job Description:

We are seeking a highly skilled and motivated senior data scientist to support a big data program. The successful candidate will play a pivotal role in supporting multiple projects in this program covering traditional tasks from revenue management, demand forecasting, improving customer experience to testing/using new tools/platforms such as Copilot Fabric for different purpose. The expected candidate would have deep expertise in machine learning methodology and applications. And he/she should have completed multiple large scale data science projects (full cycle from ideation to BAU). Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. This is a data science role directly embedded into the program/projects, stake holder management and collaborations with patterner are crucial to the success on this role (on top of the deep expertise).

What we are looking for:

Highly efficient in Python/Pyspark/R.
Understand MLOps concepts, working experience in product industrialization (from Data Science point of view). Experience in building product for live deployment, and continuous development and continuous integration.
Familiar with cloud platforms such as Azure, GCP, and the data management systems on such platform. Familiar with Databricks and product deployment on Databricks.
Experience in ML projects involving techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches.
Solid background in statistics, probability distributions, A/B testing validation, univariate/multivariate analysis, hypothesis test for different purpose, data augmentation etc.
Familiar with designing testing framework for different modelling practice/projects based on business needs.
Exposure to Gen AI tools and enthusiastic about experimenting and have new ideas on what can be done.
If they have improved an internal company process using an AI tool, that would be great (e.g. process simplification, manual task automation, auto emails)
Ideally, 10+ years of experience, and have been on independent business facing roles.
CPG or retail as a data scientist would be nice, but not number one priority, especially for those who have navigated through multiple industries.
Being proactive and collaborative would be essential.

Some projects examples within the program:

Test new tools/platforms such as Copilo, Fabric for commercial reporting. Testing, validation and build trust.
Building algorithms for predicting trend in category, consumptions to support dashboards.
Revenue Growth Management, create/understand the algorithms behind the tools (can be built by 3rd parties) we need to maintain or choose to improve. Able to prioritize and build product roadmap. Able to design new solutions and articulate/quantify the limitation of the solutions.
Demand forecasting, create localized forecasts to improve in store availability. Proper model monitoring for early detection of potential issues in the forecast focusing particularly on improving the end user experience.

Data Scientist – Program Embedded

Job Description:

What we are looking for:

Highly efficient in Python/Pyspark/R.
Understand MLOps concepts, working experience in product industrialization (from Data Science point of view). Experience in building product for live deployment, and continuous development and continuous integration.
Familiar with cloud platforms such as Azure, GCP, and the data management systems on such platform. Familiar with Databricks and product deployment on Databricks.
Experience in ML projects involving techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches.
Solid background in statistics, probability distributions, A/B testing validation, univariate/multivariate analysis, hypothesis test for different purpose, data augmentation etc.
Familiar with designing testing framework for different modelling practice/projects based on business needs.
Exposure to Gen AI tools and enthusiastic about experimenting and have new ideas on what can be done.
If they have improved an internal company process using an AI tool, that would be great (e.g. process simplification, manual task automation, auto emails)
Ideally, 10+ years of experience, and have been on independent business facing roles.
CPG or retail as a data scientist would be nice, but not number one priority, especially for those who have navigated through multiple industries.
Being proactive and collaborative would be essential.

Some projects examples within the program:

Test new tools/platforms such as Copilo, Fabric for commercial reporting. Testing, validation and build trust.
Building algorithms for predicting trend in category, consumptions to support dashboards.
Revenue Growth Management, create/understand the algorithms behind the tools (can be built by 3rd parties) we need to maintain or choose to improve. Able to prioritize and build product roadmap. Able to design new solutions and articulate/quantify the limitation of the solutions.
Demand forecasting, create localized forecasts to improve in store availability. Proper model monitoring for early detection of potential issues in the forecast focusing particularly on improving the end user experience.

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For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.

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About mazosol

Founded :

2018

Type :

Services

Size :

20-100

Stage :

Profitable

About

Streamlining your hiring process with precision and efficiency. Outsource interviews and evaluations for rapid, cost-effective talent acquisition. Let's build your dream team together!

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Full time (in-office) availability
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Tech Skills –

MEAN (MongoDB, Express, Angular/React, Node.js) – Expert level - at least 2-3 full sized projects

Cloud technology – Familiar with using cloud technology (AWS, GCP etc) – Intermediate – Should be able to interact with the services from cloud (e.g. firebase etc)

HTML, CSS, Bootstrap, Java script – Intermediate level - Good understanding of concepts and should be able to realize application screens based on the UI provided by designers

Mobile technology – Hybrid (ionic, Cordova, capacitor, flutter), Native (Android, iOS) – Beginner – Should have understanding of concepts, good with basics

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