Mars United Commerce

Director, Data Science

Mars United Commerce

full-time

Posted on:

Origin:  • 🇺🇸 United States • Illinois, New York

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Salary

💰 $132,715 - $200,400 per year

Job Level

Lead

Tech Stack

AWSAzureCloudNoSQLPythonPyTorchSparkSQLTableauTensorflow

About the role

  • Director, Data Science role at Mars United Commerce working on a major consumer goods client
  • Part of the Analytics Group responsible for data modeling, algorithm development, machine learning and AI models
  • Develop techniques such as regression, classification, clustering, NLP, marketing analytics, campaign optimization
  • Oversee technical work and lead/manage a group of data scientists, mentor, and provide professional development
  • Collaborate with senior cross-functional leaders and stakeholders to identify opportunities and translate business requirements into data science projects
  • Use tools including Databricks, Azure Synapse, Python, SQL, Azure SQL, Power BI, Looker
  • Develop and optimize ML models, feature engineering, evaluation metrics, QA, validation, A/B testing
  • Document processes, adhere to data governance/security, and support recruitment and new business RFP efforts
  • Maintain marketing certifications and stay informed of trends

Requirements

  • Candidates must reside in a commutable distance to Mars United Commerce's hub location in Chicago or New York
  • 8+ years of industry experience in a data science/data analysis/statistical analyst role, preferably in the marketing domain
  • A bachelor’s/master’s degree in Mathematics, Statistics, Data Analytics, Computer Science, or a directly related field
  • Strong proven leadership capabilities to manage and mentor the analytics team
  • Proven ability to oversee and manage a group of Data Scientists and deliver on multiple high-priority projects
  • Superior communication skills to convey complex data insights to non-technical and senior stakeholders
  • Advanced expertise in machine learning, statistical modeling, big data technologies, and data analysis tools (Python, R)
  • Advanced proficiency in SQL with extensive experience in relational, SQL, and NoSQL databases
  • Expert-level experience with BI tools such as Tableau and Power BI
  • Extensive experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies
  • Proven experience in DevOps or MLOps practices
  • Deep familiarity with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch)
  • Demonstrated success in leading marketing analytics methodologies like Multi-Touch Attribution (MTA), Audience Development, Clustering, Markov Chain analysis
  • Strong technical understanding of marketing concepts such as first-party and third-party cookie-based data collection
  • Collaborative mindset and critical thinking
  • Show a passion for challenging business conventions and provide sound decision-making skills based on industry knowledge