Analytics Scientist Job Description
Analytics Scientist Duties & Responsibilities
To write an effective analytics scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included analytics scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Analytics Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Analytics Scientist
List any licenses or certifications required by the position: INFORMS, FRM, CPA, CFA, AWS, AI, APICS, SAS
Education for Analytics Scientist
Typically a job would require a certain level of education.
Employers hiring for the analytics scientist job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Statistics, Computer Science, Mathematics, Engineering, Management, Computing, Information Science, Machine Learning, Social Sciences, Communication
Skills for Analytics Scientist
Desired skills for analytics scientist include:
Desired experience for analytics scientist includes:
Analytics Scientist Examples
Analytics Scientist Job Description
- Prepare experimental plans and independently execute experiments with minimal supervision
- Support USP and DSP development groups with analytical sample testing
- Develop new high throughput and/or automated analytical (at-line, on-line and in-line) methods for process monitoring
- Contribute to documentation and preparation of reports and scientific presentations
- Experience with statistics and software methods
- Mentor and train junior Research Associates in analytical methods development, implementation, execution and documentation
- Effectively and frequently communicate with business customers
- Develop and troubleshoot HPLC and UPLC methods needed to support Purification and Cell Culture work in MSAT
- Running of HPLC analytical methods using Empower software
- Perform other in-process testing methods such as protein assay, eg
- Experience using SAS, R or Matlab
- Skills with relational database implementations and SQL
- Experience with SiteCatalyst /Clickstream
- Experience Data Warehousing and Teradata SQL
- Knowledge of distributive computing tools (Spark, Hive, etc)
- Experience with visualization tools (ex
Analytics Scientist Job Description
- Develop new high throughput and/or automated analytical (at-line, online and in-line) methods/workflows for process monitoring
- Develop novel in-line, on-line, and at-line process analytical technology (PAT) methods for real time and near real time monitoring of key product quality attributes and process impurities
- Prepare technical reports, Standard Operating Procedures (SOP) qualification reports, study protocols and reports, and scientific journal publications and presentations
- Mentor, train/lab supervision of junior Research Associates in analytical methods transfer, implementation, execution and documentation
- Communicates findings from exploratory and predictive data analysis broadly to Director of BP&O and key customers
- Identifies improvement opportunities in RMC & GPO organizations and collaborates with CAO to implement the enhancements
- Collaborates with Data Science teams to build data-driven environment across all functions in the organization
- Provide senior leadership with metrics and insights based on detailed analysis of emerging trends, business performance and key metrics
- Responsible for complex analysis of business problems
- Build analytical tools, user friendly reports and ad-hoc analyses to support and enable our operational teams
- Experience with complex simulation models
- Experience in preparing and presenting scientific analysis reports to varied audiences and influencing project direction/strategy
- Highly motivated, independent, fast learner, agile, and results oriented
- Experience with genetic models strongly preferred
- SQL scripting and coding, understanding of database systems and management of large data sets
- Experience with solving analytical problems involving big data sets using quantitative approaches
Analytics Scientist Job Description
- Input into the design of own projects
- Responsible for the execution and delivery of own projects (safety, quality, on time, right first time) including completion of project dashboards
- Escalate issues in a timely fashion (technical)
- Critically analyse information and drive good quality, data driven decisions on own projects
- Collate, analyse and sign off data to produce good quality information
- Operate as part of a cross-functional project team
- Prepare and deliver draft presentations and reports for internal use and for
- Partner with commercial teams to identify, scope, and execute analytic efforts that answer business questions, solve business needs, and add business value
- Maintain a broad understanding of sales and marketing and be fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data
- Provides support and guidance as necessary for corporate strategic projects
- 5 years of experience in the job offered or 5 years of operations research experience involving large-scale industrial optimization problems
- 5 years of experience programming using C++, Java and CPLEX
- 5 years of experience developing large-scale network optimization algorithms
- 3 years of experience performing complex mathematical programming and exact and meta-heuristic algorithm development
- 3 years of experience performing stochastic modeling and optimization and uncertainty quantification
- Experience with parallel/grid computing, programming
Analytics Scientist Job Description
- Research and apply the latest quantitative techniques toward the solution of important problems from many areas of the automotive and mobility industry
- The specific projects may involve using reinforcement learning to solve general-sum Nash equilibrium in a dynamic setting, or applying machine/deep learning models to target offering at individual level
- Translate ideas and theory into solutions from which the business can grow
- Report on key performance marketing metrics against targets on a daily, weekly and monthly basis and provide actionable insights to improve performance
- Share expertise and best practices within analytical functions to develop a shared centre of excellence
- Proactively craft stories from data to clearly identify opportunities in the markets/channels
- Understand business needs and key decisions points
- Deliver insight to support the above decisions
- Provide relevant visualization to generate Insight
- Leverage Analytical & data science skills for on demand analysis or project based analytics
- Experience in pricing in the financial industry highly preferred
- Master’s Degree in Math/ Analytics/Quantitative/Statistics Study by January of 2017
- Experience with protein process monitoring using spectroscopic methods
- Hands-on experience with different modes of chromatography using LCMSMS and HPLC/UPLC interfaced with MALS, PDA, UV/VIS detectors
- Hands-on experience in performing and trouble-shooting size and charge-based
- Familiarity with high throughput automation for USP and DSP in-process testing
Analytics Scientist Job Description
- Design, develop and maintain predictive machine learning models
- Design, develop and maintain software and toolkits in raw data analytics, model calibration, model verification and visualization
- Integrate machine learning models into the ADAIT platform
- A doctorate or equivalent research experience in a relevant discipline area, such as mathematics, computer science, machine learning, artificial intelligence and transportation science
- A minimum of three years experience working as a postdoc researcher, research scientist or junior academic staff on related subjects
- A solid record of publication in quality, peer reviewed journals
- High proficiency in advanced mathematics including constraint programming, graph theory, stochastic process and Bayesian inference
- A proven record of applying mathematical solutions to machine learning problems, Behavioural Modelling, Natural Language Processing, Image Processing or Recommendation Systems
- Active participation as a core team member in the RIKU Research Analytics group and focused collaboration with translational researchers in our I&I TCoE
- Guide development of molecular patient selection and biomarker hypotheses towards clinical diagnostics
- Knowledge of upstream and downstream process development
- Familiarity with development of at-line, on-line, and in-line process analytical technology (PAT) methods for monitoring protein attributes andin- process control
- High degree of proficiency in a variety of computer software for acquiring and analyzing chromatography, capillary electrophoresis, spectroscopic, and light scattering data (e.g., Empower, MassLynx, Open Lab, ChemStation, ASTRA )
- Excellent teamwork and communication skills, including good documentation and writing skills, are critical
- BS with 5+ years of experience or MS with 3+ years of experience or PhD
- Degree must be in a scientific discipline