Data Scientist

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.