Description:

The Senior/Staff Data Scientist at Resilinc plays a crucial role in shaping 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.
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.

Requirements:

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

The position offers the opportunity to work in a dynamic and innovative environment focused on cutting-edge data science solutions.
Employees will have the chance to collaborate with cross-functional teams, enhancing their professional network and skill set.
The role provides a platform for personal and professional growth through mentorship and coaching opportunities.
Employees can expect to work on large-scale, impactful projects that align with business objectives.
The position supports remote work flexibility, allowing for a better work-life balance.