Lead Data Scientist
Lead Data Scientist
tarento groupThis job is no longer accepting applications
Job Description
About Tarento
Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.
We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you'll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.
Job Summary
We are looking for a Lead Data Scientist to design and manage machine learning pipelines that power pricing optimization. This role focuses on handling evolving cost data, implementing robust feedback loops, and ensuring accurate model performance across multiple release cycles.
Key Responsibilities
Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.
We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you'll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.
Job Summary
We are looking for a Lead Data Scientist to design and manage machine learning pipelines that power pricing optimization. This role focuses on handling evolving cost data, implementing robust feedback loops, and ensuring accurate model performance across multiple release cycles.
Key Responsibilities
- Design and manage ML pipelines with dynamic cost data inputs
- Develop mechanisms to detect data drift (provisional vs. confirmed data)
- Define retraining strategies and model governance protocols
- Architect data handoff processes between upstream cost systems and pricing engines
- Ensure model accuracy and prevent margin calculation errors
- Collaborate with engineering and business teams on model deployment and monitoring
- 8-12 years in data science, with focus on production ML systems
- Strong experience in pricing optimization or cost modelling
- Expertise in ML lifecycle management (training, validation, deployment, monitoring)
- Experience with data drift detection and feedback loop design
- Proficiency in Python, ML frameworks, and data engineering concepts
- Experience in supply chain, retail, or manufacturing domains
- Familiarity with large-scale data platforms and distributed systems
- Exposure to financial modelling or revenue optimization use cases
More Info
Key Skills
Feedback loop design
ML lifecycle management
ML frameworks
Cost modelling
Data engineering concepts
Data drift detection
About Company
Skills:
statistical data analysis , Machine Learning, Natural Language Processing, Jira, Sql, Gitlab, Clustering, Python, UNIX command line, anomaly detection, Classification, data analysis libraries, Agile development frameworks, ML Ops, feature engineering, Azure AI Search
Skills:
data engineering , Machine Learning, Docker, Data Architecture, Python, AWS, Sql, Deep Learning, Gcp, MLops, Rest Apis, Azure, Kubernetes, Pinecone, CI CD, LangGraph, Vector Databases, Chroma, LangChain, CrewAI, Generative AI, AI Security, LLMs, LLMOps, Governance, RAG AI Agents, Milvus, Weaviate, LlamaIndex
Skills:
data engineering , Data Analytics, Web Scraping, Deep Learning, Data Extraction, Nlp, MLops, Azure, Python, AWS, Generative AI, Git-based CI CD workflows, AI Agents, LLMOps, cloud platforms, large-scale data processing, RAG, Data Communication, Multimodal AI, synthetic data techniques, entity recognition
Skills:
Sql, Tensorflow, Pytorch, Python, Predictive Analytics, Cnn, Power Bi, Tableau, Nlp, Rnn, Data Visualization, Clustering, Generative AI, machine learning frameworks, Hugging Face, Digital Marketing Strategies, Classification, deep neural network models, conversational AI solutions, Regression, Transformers, performance optimization, classical analytics tools, NLP models, OpenAI, customer acquisition analytics
Skills:
Databricks, Tensorflow, Github, Pandas, Numpy, Azure Machine Learning, Machine Learning, MLops, Azure Functions, Pytorch, Python, Kubernetes, Docker, XGBoost, Azure DevOps, Azure Monitor, Application Insights, MLflow, scikit-learn, Azure Container Apps, LightGBM