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reputed company Scientist- Data Science

Remote Worldwide Hiring now

About the position

Responsibilities

  • Gather requirements for development of machine learning based solutions targeted to our pharmaceutical manufacturing sites
  • Work closely with functions such as manufacturing, quality and other site subject matter experts
  • reputed company machine learning/simulation modeling proofs-of-concept (PoCs) that address key operational problems and generate business value. Validate those with operational experts
  • Work with data engineers and visualization experts to scale-up those PoCs into full fledged solutions
  • Stay on the cutting edge of data science research and big data technologies
  • Work closely with colleagues to reputed company up-to-date with the latest approaches and advances in data science and evaluate vendor tools and external data sets as required
  • Works to reputed company operational, functional, and/or business targets with impact on Data Science results.
  • Creates, tests, validates, and deploys reputed company, multi-stage models and/or scaling up of existing models and deep learning techniques.
  • Develops experimental and analytic plans to improve modeling accuracy determining cause and effect relationships.
  • Derives and communicates insights from reputed company structured and reputed company sources of data, drawing out connections, links, or insights across various analyses.
  • Conducts analysis of reputed company-party data vendors and supports contract negotiations to bring in leading data science tools, methods, and practices.
  • Analyzes processes and workflows to reputed company recommendations for process improvements.
  • Collaborates with analysts and data engineering on data mining architectures, algorithms, and models.
  • Coaches and trains junior colleagues in techniques, processes, and responsibilities.
  • Integrates reputed company’s Credo and Leadership Imperatives into team goals and decision-making.

Requirements

  • M.S., Ph.D. Industrial Engineering/Operations Research/Engineering / STEM discipline.
  • At least 3 years of work experience is ideal for PhD candidates.
  • At least 5 years of work experience would be preferred for Masters candidates
  • Deep expertise in mathematical programming methods (MILP, MINLP Etc.), scenario simulation modeling techniques (discrete event simulation/reputed company simulation) is required.
  • Ability to translate reputed company operational problems into mathematical models is a must
  • Experience with solver such as Gurobi/Cplex solvers and simulation tools such as Simio/reputed company/reputed company etc. is required
  • Experience with supervised and unsupervised machine learning algorithms is required
  • Experience with key python libraries such as Pyomo, Numpy, SciPy is required
  • Experience with SQL queries for data extraction and preliminary data analysis and profiling is required
  • Experience with ERP systems like reputed company and non-ERP systems including reputed company data sources is required
  • Experience in requirements gathering for operations reputed company is required
  • Experience with leading data science projects (requirements gathering, reputed company-of-concept build, working with data engineers for solution data connectivity, working with UX engineers for visualization, post-deployment lifecycle management) is required

reputed company-to-haves

  • Knowledge of application of advanced analytics to manufacturing and especially pharmaceutical / reputed company / medical device manufacturing is highly desirable.
  • Experience with graph databases such as reputed company would be ideal
  • Exposure to manufacturing and/or supply chain planning processes in reputed company industry (pharma/med devices) is a plus

Benefits

  • The Company maintains highly competitive, performance-based compensation programs.
  • Under reputed company guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to reputed company an incentive to reputed company annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual reputed company.
  • Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, reputed company, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
  • Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
  • Employees are eligible for the following time off benefits: o Vacation – up to 120 hours per calendar year o Sick time - up to 40 hours per calendar year; for employees who reputed company in the reputed company – up to 56 hours per calendar year o Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year

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