Lead Data Scientist

Job Title: Lead Data Scientist Location: Chicago IL (Hybrid Model) (3WFO/2WFH) Duration: Long Term The Analytics and Insights team is seeking a data scientist who loves working on complex problems and getting things done. The ideal candidate combines excellent business acumen and communication skills with outstanding analytical skills. If you are detail-oriented, enjoy solving complex data challenges, and are passionate about data, we want to hear from you. As a Data Scientist, you will work with data analysts, managers and engineers to: resolve ambiguity with data, play a crucial role in the iteration and optimization of analytics and ML products and support data-driven decision-making on a key project for the organization. You'll be working directly with an experienced (and fun) team of brilliant people in a dynamic environment to grow the company that is revolutionizing the cloud computing world. Responsibilities: The Candidate would be tasked with solving a real-life business problem that requires processing/analysing TBs of data and handling variety of data sources The candidate will be expected to deal with data extraction and munging, using appropriate ML techniques to build data science solutions and to implement these solutions in production. The work is organized as a project with clear deliverables and stringent timelines The Candidate would collaborate with other team members who would provide support and mentoring The Candidate would proactively investigate, report, and where possible, address data quality issues Core Skills: Experience in using LLMs , both open source & proprietary models Experience in building Q&A models using RAG , fine tuning LLMs - beyond prompt engineering techniques. Experience in using tools like Langchain , LLamaIndex, vector databases is preferred Understanding of LLM Ops is a big plus Strong SQL skills (6-7 Years of hands-on experience with complex queries and data munging) Deep Machine Learning expertise (hands on with 6-7 years of experience) Strong expertise in Python (particularly Machine Learning Libraries) Experience implementing machine learning solutions in at least 3-5 real-life Analytics Projects (Excluding Academic/side projects) Solid fundamentals, knowledge of supervised, unsupervised, machine learning and deep learning algorithms, such as classifiers, cluster analysis, dimension reduction, regression, time series forecasting, boosting/bagging, model explain ability techniques Exposure to deep learning algorithms and areas such as NLP is a strong plus. Excellent communication (written/verbal), presentation and facilitation skills Ability to engage with business teams directly, especially with key stakeholders spread across different Geos (particularly AMER and EMEA) Great presentation skills Thanks & regards Vivek Madari Recruitement & Delivery Manager View email address on click.appcast.io Fisec Global