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Otto Group One O
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Data Scientist

Data Scientist

Otto Group One O

2 - 3 years

30 - 35 Lacs

hyderabad

Posted:None| Platform:

Apply

Skills Required

data analysis gcp machine learning healthcare scheduling german budgeting sql python logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job_Description:

OSP India, now part of one.O.

OSP India - Hyderabad Private Limited takes a significantstep forward in its evolution by becoming part of Otto Group one.O, the newcentral, high-performance partner for strategy consulting and technology forthe Otto Group. This strengthens our mission to deliver innovative IT solutionsfor commerce and logistics, combining experience, technology, and a globalvision to lead the digital future.

OSP Indianame transition

OSP India will adopt the name Otto Group one.O in thefuture, following our headquarters' rebranding. We want to assure you that thisbrand name change will not affect your role, job security, or our companyculture. This transition aligns us with our global teams in Germany, Spain, andTaiwan and enhances our collaboration moving forward

We are looking for a Data Scientist to join ourdynamic team. In this role, you will take end-to-end responsibility fordeveloping, deploying, and optimizing machine learning models that supportmarketing, budgeting, and business decision-making. You will work closely withcolleagues across departments, translating data-driven insights into actionablestrategies with measurable business impact.

Responsibilities

Design and develop machine learning models for budget allocation, marketing performance optimization, and business management .

Apply classic ML methods such as XGBoost, regression models, and curve fitting to solve business challenges.

Take ownership of the end-to-end data science lifecycle , from data analysis and model development to deployment and production operations.

Continuously monitor, evaluate, and optimize existing models for performance and scalability.

Collaborate within the data science team , working flexibly across both data science and data engineering tasks.

Advise and support business stakeholders with actionable recommendations derived from model results.

Requirements

Strong proficiency in Python and SQL (especially using SQL within Python workflows).

Expertise in machine learning algorithms (e.g., XGBoost, regression models) and solid understanding of statistical principles.

Practical experience with Python data science libraries (e.g., pandas, NumPy, scikit-learn, SciPy, statsmodels, XGBoost).

Ability to write and maintain production-ready code with best practices in software engineering.

Experience deploying and operating models in production environments (MLOps mindset).

Familiarity with cloud environments and Infrastructure as Code (IaC) concepts.

Pragmatic, solution-oriented mindset with strong focus on delivering business impact .

Nice-to-Have

Experience with:

Terraform

Google Cloud Platform (GCP)

Snowflake

GitHub (version control, CI/CD pipelines)

Knowledge of marketing and pricing processes and related models.

Proficiency in German (minimum C1) for advising and collaborating with non-technical stakeholders.

Benefits

Flexible Working Hours: Support for work-lifebalance through adaptable scheduling.

Comprehensive Medical Insurance: Coverage foremployees and families, ensuring access to quality healthcare.

Hybrid Work Model: Blend of in-officecollaboration and remote work opportunities, with four days a week in theoffice.

,

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Data Scientist