Marketing Data Engineer
Timescale- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and ideally a Master's degree. They should have at least 3 years of experience in data science, with a strong focus on marketing analytics and campaign performance. Experience with SQL, Python, and data visualization tools is essential, along with familiarity with A/B testing methodologies and statistical modeling techniques.
The Marketing Data Scientist will be responsible for building and developing omnichannel campaigns, conducting post-campaign analytics to assess marketing effectiveness, and delivering data-driven recommendations for personalized member offers. They will also build dashboards to monitor campaign performance, present impact to stakeholders, and recommend tools and approaches to enhance data-driven marketing capabilities. Furthermore, they will contribute to testing new campaigns and expanding the organization's data science expertise.
Develops advanced biotech and high-tech products
Science.xyz develops specialized products and services in the biotech and high-tech sectors, focusing on areas like synthetic biology, stem cell research, microfabrication, and semiconductor devices. Their products are designed to meet the needs of clients such as academic institutions, research labs, and biotech companies. The company employs a skilled team of professionals, including scientists and engineers, to ensure their offerings are advanced and effective. Unlike many competitors, Science.xyz emphasizes collaboration and partnerships within the scientific community to enhance their product development. The goal of Science.xyz is to leverage scientific research to create valuable solutions that contribute to advancements in technology and biotechnology.