Decision Scientist
Leverage advanced analytics to drive strategic business decisions.
Decision Scientists use advanced analytics to influence business strategies and operations. They focus on statistical analysis, operations research, econometrics, and machine learning to create models that guide decision-making. Their role involves close collaboration with various business units, requiring a blend of technical expertise and business acumen. Decision Scientists are key in transforming data into actionable insights for business growth and efficiency.
What are the responsibilities & duties of a Decision Scientist?
- Develop and analyze models to quantify credit loss.
- Create predictive models for various business scenarios including financial, operational, and customer engagement.
- Apply traditional statistical techniques and mathematical concepts to business problems.
- Build large, efficient datasets for Decision Science applications, optimizing for speed and automation.
- Perform data mining and trend analysis to develop segmentation strategies.
- Partner with marketing and other teams to support data-driven decision making.
- Produce data visualizations to communicate findings to internal stakeholders.
- Research and develop decision science models, providing consultancy to business units.
- Manage complex data processing and system validation tasks.
- Build and maintain advanced decision science algorithms and tools.
- Act as a peer leader and guide junior colleagues in technical methodologies.
- Contribute to analytics innovation and integration within the organization.
What are the required skills & experiences of a Decision Scientist?
- 2+ years of experience in a quantitative field such as Data Science or Decision Science.
- Bachelor's degree in a relevant technical field or equivalent practical experience.
- Proficiency in statistical modeling and data analysis (e.g., regression, time series).
- Experience using Python or R for statistical modeling.
- Strong SQL skills for data querying and manipulation.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaborate with cross-functional teams.
- Knowledge in various analytical fields such as Bayesian statistics, optimization, econometrics, and machine learning.
- Familiarity with software development and cloud computing tools.
- Strong business acumen and ability to translate data insights into actionable business strategies.
Core Decision Scientist Required Skills
Apache Hadoop
Area Charts
Behavioral AnalyticsBubble Charts
Classification Metrics
Clojure
Cloud ArchitectureCognitive ComputingColumn Charts
Cookies
Cost Functions
Data OrchestrationData ScienceData Storage FrameworkDeep Learning
Dell BoomiDigital Marketing AnalyticsEnterprise Service ManagementFacebook AdsFitting AlgorithmsForeach Loops
GLM
HubSpotHuman ResourcesIllusory SuperiorityIn-Memory Computing
JenkinsKnowledge GraphsLanguage Modeling
LeadershipLinear Model AnalysisLinear ModellingLinear RegressionLogistic RegressionsMachine Learning LifecycleMATLABMean Squared ErrorMLflowModel MonitoringMotivating OthersOutlier TreatmentPostgreSQLPredictive AnalyticsProduct AnalyticsRecommendation SystemsSales MethodologiesSignal to Noise
SolarWinds
Stitch DataTest EnvironmentType 1 ErrorUnsupervised Algorithms
VirusesZ-TestsDecision Scientist Levels
Intern Decision Scientist
An Intern Decision Scientist is a budding professional who uses data analysis, machine learning, and statistical modeling to inform strategic decision making. They are keen learners, ready to apply their academic knowledge to real-world business challenges, and are instrumental in supporting the organization's data-driven initiatives.
Graduate Decision Scientist
A Graduate Decision Scientist is an early-career professional that uses data, statistical methods, and business acumen to make informed decisions. They apply their academic knowledge to real-world challenges, providing valuable insights that drive strategic decision-making. Their role is crucial in supporting data-driven business operations.
Junior Decision Scientist
A Junior Decision Scientist is a budding professional who applies a blend of data analysis, statistical modeling, and business acumen to inform strategic decision-making within an organization. They play a crucial role in transforming complex data into actionable insights, contributing to the organization's data-driven initiatives.
Decision Scientist (Mid-Level)
A Mid-Level Decision Scientist is an analytical professional who leverages data to drive strategic decisions within the organization. They apply statistical modeling, machine learning algorithms, and analytical reasoning to provide data-driven insights that influence business strategy. They are key players in the organization's decision-making process.
Senior Decision Scientist
A Senior Decision Scientist is an expert in leveraging data to drive strategic business decisions. They apply advanced analytical and statistical techniques to solve complex business problems, guide strategic initiatives, and influence organizational decision-making. Their expertise lies in transforming data into actionable insights and foresighted strategies.
Lead Decision Scientist
A Lead Decision Scientist is a strategic leader who uses data-driven insights to guide decision-making processes. They leverage their expertise in data science, analytics, and business strategy to shape the direction of the organization. Their role is pivotal in turning complex data into actionable strategies that drive business growth.
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