Decision Scientist Job Description
Decision scientist
provides access to data through dashboards and other analytical tools to empower the team through self service.
Decision Scientist Duties & Responsibilities
To write an effective decision scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included decision scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Statistics / Mathematics / Quantitative Methods – Quantify evidence, understand variation, and separate signal from noise
Identify and apply best practices in field of advanced analytics (statistics, operations research)
Builds analytical data sets, including development of programs for the extraction and transformation of data across multiple platforms, including mainframe, server and desktop using tools like SAS, R, Python, SQL
Takes clients’ business questions, frames the data analysis to effectively answer client question, applies basic statistical concepts and descriptive statistics to understand and describe relationships in data, and draws appropriate conclusions from the results
In partnership with senior/lead decision scientists, builds predictive and regression-based models and complex descriptive analytics, runs inferential statistics, clustering and market based analysis
SQL/SAS programming experience and aptitude to learn on the job
Master's degree in quantitative related field (Statistics, Math, Operations Research, MS,M-tech, B-tech etc) with consistent record in using advanced quantitative and statistical technique
Helping build, enhance and maintain the GPS Analytics Sandbox
Under guidance of Decision Scientist extract data from various databases
Independently initiates and leads strategic research projects
Decision Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Education for Decision Scientist
Typically a job would require a certain level of education.
Employers hiring for the decision 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, Economics, Engineering, Mathematics, Computer Science, Psychology, Math, Finance, Science, MBA
Skills for Decision Scientist
Desired skills for decision scientist include:
Statistics
SAS
Basic statistics
Experience with R
Similar
Multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
Tools to pull and process data from various database environments
True self learning models
Ability to know when a model as degraded beyond the original expected outcomes
Core products and processes to get results
Desired experience for decision scientist includes:
3+ years of experience with predictive modelling and analytics
None in the near-term
Good background with big data technologies such as MPP databases (Netezza, Exadata, Teradata or Greenplum), Hadoop (Cloudera, MapR or Pivotal), Python (along with NumPy, SciPy, Pandas and other associated packages) to ingest, integrate, cleanse and prep structured, semi & unstructured data at scale
Hands on experience on processing extremely large data sets
Business-applicable experience in several techniques for data visualization skills, Tableau / D3
Working knowledge of basic statistical languages
Decision Scientist Examples
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Decision Scientist Job Description
Job Description Example
Our innovative and growing company is looking for a decision scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for decision scientist
- Participate as a collaborating investigator in programs to foster the safe use of prescription medicines and adverse medication interactions
- Participate in a multi-disciplinary team to design, implement and evaluate therapeutic decision trees that will become the foundation for medical decision support systems
- Contribute to the scholarly development of medical decision support systems through publications in the medical literature on the results of your research
- Train and educate students, trainees and colleagues in precision medicine and the appropriate use of genetic testing
- Do the Math
- Translate data insights into actions and recommendations
- Determines analytical approaches to evaluate scenarios and potential future outcomes
- Establish analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses
- Apply in-depth knowledge of systems and products to consult and advise on additional efforts across organization/enterprise
- Provide thought leadership and direction for analytic solutions, tools and studies
Qualifications for decision scientist
- 1+ year of experience with SQL (Oracle, Teradata)
- Business-applicable experience in several techniques for data visualization skills, Tableau
- In depth knowledge and experience in several techniques for data visualization skills, Tableau
- Prior experience with following models – Logistic Regression, SVM, Deep Learning(Neural Networks), Hidden Markov Models, GBM and Decision trees(Random Forest)
- Prior experience with Optimization models
- Experience with Recommender or Ranking systems, Clustering (PCA, KNN or other clustering techniques)
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Decision Scientist Job Description
Job Description Example
Our company is growing rapidly and is looking for a decision scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for decision scientist
- Interact with client and internal management to share highly complex information/solutions related to areas of expertise and/or to gain acceptance of new or enhanced technology/ business solutions
- Remains abreast of developments in the field(s) of mathematical analysis, market research and economic analysis by pursuing a program of self-development, participating in professional organizations, interacting with peers, reviewing pertinent literature, and so forth
- Prepares and presents PowerPoint presentations summarizing analysis findings and recommendations, providing actionable insights to business decision makers
- Supports the build of powerpoint decks designed to share key insights with senior leaders and with the business
- Uses data visualization tools to diagnose and understand analytical results, and designing dashboards for both regular and ad-hoc data requests
- Designs experiments to support business understanding of efficacy of campaigns and programs we initiative within market that are customer facing
- Product analytic results (reports, charts, graphs and tables) to support key business problems
- Engaging with business users to understand business challenges, how users are approaching these challenges, and identify solutions that will support the decision making process
- Translating data insights into actions and recommendations that will drive better revenue and fleet decisions
- Minimum Bachelor’s Degree in quantitative filed required
Qualifications for decision scientist
- R, Octave, Python((numpy, scipy, scikitlearn), Java, Hadoop Ecosystems, RDBMS
- 2 -3 years of experience in advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining
- Proficiency dealing with extraction and manipulation of relational databases (SQL)
- Ability to generate quick, iterative solutions to a wide range of business problems
- Exposure to unstructured data sets, cloud based architectures, and deployment frameworks for machine learning algorithms
- Seven years experience with big data, data management platform (DMP), and real-time decision systems
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Decision Scientist Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of decision scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for decision scientist
- Less than 3 years of experience or fresh candidates with data analytics related thesis or projects can apply with above qualification
- Working knowledge of statistical analysis tools like R, Matlab etc
- Develop real time and batch risk models to screen online transactions and stop fraudulent ones independently
- Document and communicate model results and insights internally
- Support Senior/Staff Risk Scientists with ad-hoc analysis in response to internal and external requests
- Continuously track and evaluate the effectiveness of risk models and rules
- Analyze online transaction activity to identify loss reduction opportunities and devise actionable plans to exploit such opportunities
- Profile customer behavior to identify opportunities to enhance model/rule performance
- Design, develop and deploy data-driven predictive models/algorithms to solve business problems using the latest and most appropriate technologies in Operations Research, Machine Learning and Statistical Modelling
- Perform data analysis on large scale datasets (millions of rows)
Qualifications for decision scientist
- Advanced SQL skills and familiarity with Python, Java, C/C++
- Multi-tasking and comfortable in working in a fast-paced environment
- 5+ years’ directly related analytical experience
- Have domain expertise and operationalize and measure performance
- Providing reporting for other business partners
- BA/BS in Business, Finance, Statistical Analysis or other quantitative discipline – Masters Preferred
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Decision Scientist Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of decision scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for decision scientist
- Master's degree in quantitative related field (Statistics, Math, Operations Research, M-tech, B-tech+MBA etc)
- Strong SQL/SAS programming experience
- Perform large scale optimization and statistical analysis in areas of web analytics, forecasting and supply chain management
- Communicate insights and formulate recommendations for the clients
- Communicate and coordinate effectively with the offshore team
- Execute, manage and deliver R&D projects as part of a global R&D program
- Contribute to the innovation through advanced algorithms by identifying efficiency gains and highlighting the mid and long term stakes
- Strive to being a scientific and technical reference in his expertise domain
- Communicate with global R&D team and maintain strong cooperative working relationships with numerous partners and internal stakeholders
- Define the optimization problem, specify requirements and investigate options (models & optimization algorithms) for solving the problem
Qualifications for decision scientist
- Prior experience designing and reading A/B tests and sizing control groups required
- Ability to solve complex analytical problems and develop innovative and practical solutions for online brokerage business results preferred
- Years within data analysis field or discipline - minimum experience (3 Years)
- Certification in Clinical Molecular Genetics from the American Board of Medical Genetics (or equivalent board)
- Ten years of broad experience in genomics and genetics
- Five years of genetic counseling experience
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Decision Scientist Job Description
Job Description Example
Our company is growing rapidly and is hiring for a decision scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for decision scientist
- Implement new functionalities in optimization solvers, including translation of specifications into software code
- Support testing of solvers, including definition of test cases, analysis of feasibility and performance tests results
- Ensure the transfer of the prototype to the operations entities and provide support to the industrialization phase
- Increase human machine interactivity by leveraging artificial intelligence techniques (fuzzy logic expert systems..) trained on historical decisions from decision makers
- For real time and short term dispatching applications for a more reactive, agile and responsive supply chain to customer demand
- To develop digital twins of our supply chains in order to simulate their behavior within different operating conditions and marketing offers stressing the supply chains resilience
- Fresh graduates (up to 3 years) from Masters of Science in Industrial Engineering / Operations Research / Applied Mathematics from top Universities or Grande Ecole Engineering School
- Solid knowledge of methods and algorithms (combinatorial optimization, non linear programming, optimization under uncertainty…) is required
- Must show command of using high level modeling and platforms languages such as AIMMS and programming languages such as Python, C#
- Experiences with data science/machine learning/expert systems/constraint programming techniques and discrete event simulations will be decisive in the final choice of the candidate
Qualifications for decision scientist
- Experience establishing a lab adhering to CLIA standards
- Five years of experience with multi-disciplinary team participation
- Skilled in training and educating biomedical students
- Technology/ Tools
- Advanced competency and expertise in several Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules)
- Analyze very large data sets in real time databases and develop/implement mathematical approaches to solve critical business objectives