Mars United Commerce is looking to solve business and technical problems for their clients in the commerce marketing landscape, specifically in the area of data science and analytics.
Requirements
- 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)
- Strong technical understanding of a range of marketing concepts such as first-party and third-party cookie-based data collection, developing and activating audience segments from digital analytics and data management platforms.
Responsibilities
- Uphold and implement the strategic vision for the analytics function.
- Lead and manage a group of data scientists, providing mentorship, guidance, and professional development opportunities.
- Collaborate with senior cross-functional leaders to identify areas of opportunity for Data Science and Analytics growth within clients and new business prospects.
- Develop and optimize machine learning models by processing, analyzing, and extracting data from varying internal and external data sources.
- Identify and engineer relevant features to enhance model performance and accuracy.
- Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.
- Ensure the accuracy and reliability of data through rigorous QA processes.
Other
- A bachelor’s/master’s degree in Mathematics, Statistics, Data Analytics, Computer Science, or a directly related field.
- 8+ years of industry experience in a data science/data analysis/statistical analyst role, preferably in the marketing domain.
- Strong proven leadership capabilities to manage and mentor the analytics team, to recruit and retain talent.
- Prior experience managing and mentoring a team, with a proven track record of leadership and employee development.
- Superior communication skills to convey complex data insights to non-technical and senior stakeholders.
