Senior Staff Data Scientist
Senior Staff Data Scientist
Posted on :
10-04-2025
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1 Vacancy
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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 decisionmaking. The ideal candidate will combine technical expertise with creative problemsolving 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 largescale complex projects ensuring they align with business objectives and are delivered on time.
- Lead endtoend project initiatives from ideation to implementation while ensuring efficiency and thorough .
- 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 crossfunctional 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.
- 510 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 objectoriented programming data structures and development methodologies.
- Experience with instrumentation for continuous model performance measurement and autoretraining 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 & Nonlinear models Treebased 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 finetuning LLMs and working with vector databases such as ChromaDB as well as opensource LLM models.
- Strong understanding of graph theory graph algorithms and Graph Neural Networks (GNNs) along with handson experience in graphbased 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 textrelated problems.
- Handson experience with Linuxbased environments including shell scripting process management and optimizing system performance for largescale 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 Pythonbased web application frameworks such as Flask Django Streamlit or similar technologies.
- Ability to design and deliver compelling highimpact 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 highperformance culture.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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