Senior Data Scientist, Supply Chain

India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Supply Chain, Biotechnology, Life Sciences, DiagnosticsIndustries

Requirements

Candidates must possess a PhD or Master's degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field. A minimum of 5 years of experience in applied OR/AI/ML roles, with at least 3 years focused on supply chain problems, is essential. Strong expertise in optimization, regression, classification, time series, and deep learning is required, along with proficiency in programming languages like Python, Java, or Scala. Hands-on experience in developing and implementing Operations Research and Machine Learning models for supply chain issues, coupled with knowledge of big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Snowflake), is necessary. Excellent communication skills to engage with both technical and non-technical stakeholders are also a requirement.

Responsibilities

The Senior Supply Chain Data Scientist will lead the design, development, and implementation of OR/AI/ML models for supply chain functions, including demand forecasting, inventory optimization, and network optimization. This role involves developing and deploying generative AI models, fine-tuning LLMs, and evaluating model performance. The individual will collaborate with cross-functional teams in supply chain, engineering, IT, and business solutions to align technical solutions with business needs. Responsibilities also include partnering with solution architects to ensure appropriate data flow and development using suitable tools for rapid prototyping, testing, and deployment. Ensuring models are robust, scalable, and production-ready with monitoring and feedback loops, and staying updated on emerging technologies for supply chain optimization are key duties.

Skills

OR models

ML models

AI models

Demand forecasting

Inventory optimization

Transportation routing

Logistics routing

Supplier risk prediction

Production planning

Network optimization

Generative AI

LLM fine-tuning

Model evaluation

Data flow

Data modeling

Prototyping

Testing

Deployment

Model monitoring

Danaher Corporation

Water quality, diagnostics, and identification solutions

About Danaher Corporation

Danaher Corporation operates in key markets such as water quality, product identification, and diagnostics. The company provides precision instruments and advanced purification technologies for analyzing and managing water, ensuring its safety in various environments. In product identification, Danaher specializes in laser marking, coding, and packaging solutions that help maintain product freshness and accurate labeling throughout the supply chain. In the diagnostics sector, Danaher offers tools and software that enhance diagnostic confidence, enabling healthcare providers to deliver effective care. What sets Danaher apart from competitors is its unique Danaher Business System, which focuses on continuous improvement and empowers employees to drive change. The company's goal is to consistently deliver high-performance products and solutions while maintaining leadership in its markets.

Washington, District of ColumbiaHeadquarters

1969Year Founded

IPOCompany Stage

Industrial & Manufacturing, Healthcare, Consumer GoodsIndustries

10,001+Employees

Risks

Increased competition from Roche and Abbott in AI-driven diagnostics.

Potential regulatory challenges in the EU for water quality sector.

Supply chain vulnerabilities affecting precision instruments sourcing.

Differentiation

Danaher's Danaher Business System drives continuous improvement and superior financial performance.

The acquisition of Cytiva enhances Danaher's capabilities in the biopharmaceutical sector.

Danaher's advanced purification technologies meet increasing demands for sustainable water management.

Upsides

Danaher's investment in AI-driven healthcare solutions boosts its diagnostics capabilities.

Cytiva acquisition expands Danaher's market share in the biopharmaceutical sector.

Point-of-care testing demand drives growth for Danaher's diagnostic tools and software.

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