Zoro.com · 3 days ago

Data Scientist

Chicago, IL

Full-time

Onsite

Senior Level

3+ years exp

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Responsibilities

Build predictive and inference models using Python to support business initiatives in customer acquisition, activation, engagement, retention, and channel optimization.

Partner with marketing and other stakeholders to make informed decisions based on consumer, behavior, and product data.

Collaborate with business stakeholders to propose, design, execute, and measure data scientific solutions.

Translate data insights into actionable recommendations to drive user engagement, marketing effectiveness, and customer retention.

Develop and implement algorithms, evaluate academic research, and deliver outputs in collaboration with other data scientists.

Provide guidance on tools, data sources, and best practices to streamline workflows and enhance collaboration.

Document code and data science processes, ensuring robustness and fault tolerance.

Communicate findings through data visualizations, presentations, and written means.

Qualification

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Data ScienceData MiningMachine LearningDeep LearningStatistical MethodsPythonSQLGoogle Cloud PlatformAWSMarketing AnalyticsProject ManagementData AnalysisProblem-SolvingCommunicationInterpersonalLLMsAI ToolsNLPContainerization ToolsDockerKubernetesOrchestration ToolsAirflowKubeflowWeb Tracking TechnologyWeb AnalyticsGoogle AnalyticsAdobe Analytics

Required

3+ years of experience leading data science projects that have a direct impact on a company's objectives.

3+ years’ of experience utilizing data mining techniques, ML models to assist business decision making. Hands-on experience with deep learning frameworks.

Strong knowledge of statistical methods, testing hypotheses, regression analysis, and planning experiments.

3+years of experience utilizing Python to prepare and work with large, varied datasets, developing and deploying predictive models on various computing environments.

Demonstrated proficiency in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc).

Good familiarity in areas including marketing analytics, marketing campaigns, channels and customer 360 views.

Master’s degree in quantitative fields such as Data Science, Statistics, Computer Science, Engineering, Operational Research, or Economics.

Strong communication skills. Must be able to interact cross-functionally and drive both business and technical discussions for alignment and ability to present results/findings.

Ability to translate complex business problems into project plans, design, execute and solve them by analyzing large amounts of data.