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Senior Data Scientist
Senior Data ScientistMatlen Silver • Miami, FL, United States
Senior Data Scientist

Senior Data Scientist

Matlen Silver • Miami, FL, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

RESPONSIBILITIES :

  • Consider implementation constraints, both business and technical, and defines approach across increasingly complex / large analytics use cases
  • Autonomously define the master table for increasingly complex engagements with a good understanding of all trade-offs in model building
  • Contribute to feature validation
  • Independently deliver one or multiple workstreams over the full duration of a project
  • Have an excellent understanding of leading-edge methodologies with emerging spikes in one or more methodologies (e.g., deep learning) or domains. Can apply these rigorously to a range of problems
  • Guide junior colleagues in the application of analytics approaches
  • Create series of outputs / plots that build upon each other to guide problem solving with business teams. Suggests outputs across all workstreams
  • Write production code optimized for efficiency and memory
  • Conduct code reviews with junior colleagues
  • Lead overall model validation / QA approach across the engagement
  • Excellent understanding of risks and how to mitigate
  • Raise potential ethical issues related to analytics to leadership

EXPERIENCE :

  • Strong understanding of agile methodologies and experience as a Sr Data Scientist on a cross functional agile team preferred
  • Proficiency applying data science techniques on large scale data sets. E.g., machine learning to solve clustering, classification, regression, anomaly detection problem statements; and optimization or simulation techniques to solve prescriptive problems
  • Proven ability to derive new insights by merging and transforming internal and external data sets in business contexts
  • Experience with supporting deployment, monitoring, maintenance, and enhancement of models preferred
  • Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space
  • QUALIFICATIONS REQUIRED :

  • 4+ years of directly related experience in a data science environment.
  • Bachelor’s degree required, MS or PhD preferred in the field of data science, computer science, engineering, mathematics, statistics, or related fields
  • Python or R required; SQL preferred
  • PREFERRED QUALIFICATIONS : Preference will be given to candidates who have the following :

  • Demonstrated ability to efficiently learn and solve new business domains and problems
  • Nice to have experience with popular open-source or commercial optimization libraries (e.g. Gurobi, CPLEX)
  • Knowledge with dashboarding tools (e.g., Dash, Shiny, Tableau)
  • Nice to have knowledge with MLOps infrastructure (e.g., Databricks, MLflow) and containerization and managing production pipelines and microservices (e.g., Docker, Kubernetes)
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