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Engaged Employer

Resilinc

Compare

3.2

based on 75 Reviews

1 Resilinc Job

Senior / Staff Data Scientist

Resilinc

3.2

based on 75 Reviews

5-10 years

Pune

1 vacancy

Senior / Staff Data Scientist

Resilinc

posted 4hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python Supply Chain Management Consulting SQL Linux Administration Product Management

+ 4 more

Job Description

The Senior/Staff Data Scientist at Resilinc plays a crucial role in shaping our SaaS products by developing scalable and innovative machine learning algorithms. This position requires a strong analytical mindset to solve complex challenges and leverage data for strategic decision-making. The ideal candidate will combine technical expertise with creative problem-solving to drive impactful solutions.

What You Will Do

Act as an integral member of the Data Science team within Resilinc.
Conduct literature reviews to identify suitable algorithms for addressing specific business problems, with the ability to adapt and customize these algorithms as needed for implementation.
Design, build, and implement scalable machine learning pipelines.
Take ownership of large-scale, complex projects, ensuring they align with business objectives and are delivered on time.
Lead end-to-end project initiatives, from ideation to implementation, while ensuring efficiency and thorough execution.
Collaborate proactively with stakeholders across the company, including Engineering, Product Management, Sales, Solutions Consulting, and Customer Success Management teams.
Articulate and present analytical findings and progress to cross-functional teams within Resilinc.

What You Will Bring

A BE, MS, or PhD in Operations Research, Supply Chain, Industrial Engineering, Computer Science, Statistics, Data Science, or a related discipline.
5-10 years of relevant industry experience.
Deep expertise in advanced data science methodologies and tools, staying abreast of industry trends.
Experience driving the adoption of new technologies and methodologies across teams.
Proficiency in architecting solutions using LLMs, Generative AI, and Agentic AI, including evaluating frameworks, optimizing model performance, and addressing both ethical and practical considerations.
Proficiency in Python, SQL, and a solid grasp of object-oriented programming, data structures, and development methodologies.
Experience with instrumentation for continuous model performance measurement and auto-retraining processes.
Demonstrated ability to develop complex algorithms and integrate them into scalable software solutions.
A comprehensive understanding of various Machine Learning techniques, including but not limited to Linear Non-linear models, Tree-based algorithms, Neural Networks, Classification, Clustering,

What Will Make You Stand Out

Background in the Supply Chain industry.
Strong familiarity with distributed data processing and storage frameworks, particularly Databricks and Apache Spark.
Experience in developing Generative AI models within secure, isolated environments. Proficiency in fine-tuning LLMs and working with vector databases such as ChromaDB, as well as open-source LLM models.
Strong understanding of graph theory, graph algorithms, and Graph Neural Networks (GNNs), along with hands-on experience in graph-based data processing and storage technologies such as NetworkX, GraphX, Neo4j, or similar frameworks.
Experience applying NLP techniques to challenges such as data normalization and other complex text-related problems.
Hands-on experience with Linux-based environments, including shell scripting, process management, and optimizing system performance for large-scale data science workloads.
Demonstrable experience managing the full lifecycle of machine learning models, including deployment and monitoring on cloud platforms like AWS and Azure.
Proven experience with Python-based web application frameworks such as Flask, Django, Streamlit, or similar technologies.
Ability to design and deliver compelling, high-impact demos that effectively showcase ideas and solutions to both internal and external stakeholders.
Proven ability to coach and mentor team members at all experience levels, fostering a collaborative and high-performance culture.