Job Description

OSP India, now part of one.O.

OSP India - Hyderabad Private Limited takes a significant step forward in its evolution by becoming part of Otto Group one.O, the new central, high-performance partner for strategy consulting and technology for the Otto Group. This strengthens our mission to deliver innovative IT solutions for commerce and logistics, combining experience, technology, and a global vision to lead the digital future.

OSP India's name transition

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



We are looking for a

Data Scientist

to join our dynamic team. In this role, you will take end-to-end responsibility for developing, deploying, and optimizing machine learning models that support marketing, budgeting, and business decision-making. You will work closely with colleagues across departments, translating data-driven insights into actionable strategies 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-life balance through adaptable scheduling. Comprehensive Medical Insurance: Coverage for employees and families, ensuring access to quality healthcare. * Hybrid Work Model: Blend of in-office collaboration and remote work opportunities, with four days a week in the office.