BENGALURU · FULLTIME
Data Scientist
EGC Global Services
Bengaluru · onsite · Posted 6d ago
Sourced from
Undisclosed3–8 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Data Scientist
Ecolab Digital is seeking a Data Scientist to help turn raw operational data into prioritized, plain-language insights and recommendations that reach customers in the Institutional & Specialty segment.
Responsibilities - Build, test, and deploy analytical and machine learning solutions such as classification, forecasting, summarization, Q&A, recommendations, and decision support, using data from diverse internal and external sources.
- Train, tune, and evaluate machine learning models, and defend your choices with sound error analysis rather than a single accuracy number.
- Build GenAI applications on LLM APIs: structured prompts with output schemas, retrieval-augmented generation over vector indexes, and GenAI reasoning combined with deterministic logic for reliable, auditable outputs.
- Contribute to multi-step AI workflows for task and goals based agents.
- Prepare, structure, and validate datasets so data quality and model reliability are earned, not assumed.
- Deploy solutions into cloud environments using established engineering and CI/CD practices.
- Monitor deployed models and AI systems, and support performance, reliability, latency, and cost efficiency after launch.
- Build dashboards and visualizations that turn model output into decisions stakeholders can act on.
- Translate requirements from product, engineering, and business partners into scalable solutions, and communicate insights and impact clearly to technical and non-technical audiences.
- Bachelor's degree in Data Science, Computer Science, Math, Statistics, or a related field with 3 years of hands-on data science experience, or a Master's degree in a related field with 1 or more years of hands-on experience.
- 3+ years of Python. You write clean, modular code and treat version control, testing, and code review as standard practice.
- 3+ years of SQL for querying and preparing data.
- Hands-on experience with PySpark and DataFrame APIs on a large-scale distributed platform.
- 2+ years building machine learning models, covering training, tuning, and evaluation. Classical machine learning and statistics are central to this team, not replaced by LLMs. They are how we keep the LLMs honest, from anomaly detection to composite scoring.
- 1+ year building GenAI or LLM solutions, personal projects included. This means building RAG pipelines, agents, or applications. A strong side project or open-source contribution counts here as much as work experience. You should be able to show what you built and problem it solved.
- Experience taking models and solutions all the way to production. We are looking for someone who has gone past proofs-of-concept and personal experiments and shipped something real that other people depended on, then stayed with it through the iteration cycle of fixing, improving, and re-releasing. Tell us what you put into production, who used it, and what you changed after launch.
- A working sense of evaluation: can you prove a change actually made things betterWhen you adjust a prompt, a model, or a pipeline, you can measure whether the output genuinely improved rather than just confirming it still runs. That means comparing results against a trusted answer key, watching quality after launch, and keeping errors and hallucinations in check, especially in anything customer-facing.
- Working knowledge of Git, agile practices, and CI/CD workflows as a normal part of how you ship.
- Experience building dashboards and data visualizations to communicate results, Power BI preferred.
- Strong analytical thinking, problem-solving, and the ability to explain your approach, assumptions, and trade-offs to a range of stakeholders.
- Solid data science foundation that carries into GenAI work: EDA, statistical reasoning, metric and evaluation design, sampling, and error analysis.
- Experience on the Databricks platform: Spark SQL, Delta Lake, Unity Catalog, MLflow, Vector Search, and Model Serving.
- Hands-on experience with GenAI frameworks and tools: LangChain, Anthropic, OpenAI or Hugging Face APIs, and vector databases.
- Exposure to agentic or multi-step AI workflows such as tool-calling and sequential handoffs.
- Proficiency across the Microsoft Azure suite and comfort with cloud APIs across multiple environments.
- Experience in Retail or Quick Service Restaurant businesses.
Sharing a public GitHub profile or project portfolio is encouraged; we would love to see examples of your hands-on work where available.
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Section · 02
Skills
data qualityGithubAgileCraftCode Reviewapisclassificationdata scientistauditsMathLarge Language Models (LLMs)Anomaly DetectionEvent DrivendeploymentDatabrickscloudMicrosoft AzureLangchainGITData ScienceMachine LearningForecastingAnthropic SDK
Section · Company
About EGC Global Services
EGC Global Services
Accounting & Auditing
Kochi, Kerala
India
₹6.5L PA avg
Avg at EGC Global Services
About
Founded in 2021, EGC Global Services India Private Limited (EGCGS) is a wholly owned subsidiary of EWIE Group of Companies LLC (EGC). As part of the EGC family, we are proud to be associated with our group companies – EWIE, PSMI, SourcePro, EGC Supply, GSNS. Our parent company, EGC, is headquartered in Ann Arbor Michigan, USA, and is the 27th largest industrial distribution firm in the world.With a presence in 16 countries supporting 250+ programs, EGC is considered a leader in the adoption of new practices and technology solutions that provide value to customers and lead to substantial cost savings. Our division was incorporated in 2021 at Kochi, Kerala India, with a primary focus on being the shared support center for our group companies across Technology, Procure-to-pay, Order-to-cash, E-commerce and Master Data Management Processes.
Industries
Accounting & Auditing
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