Responsible for overseeing the data scientists team, machine learning engineers, and big data specialists
Teach, lead, and counsel colleagues on new techniques or solutions
Lead data mining and collection procedures
Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem
Responsible for the conception, planning, and prioritizing of data projects
Provide support to inexperienced analysts with high-level expertise in an open source language (e.g., R, Python, Julia, etc.)
Spot and evaluate emerging/cutting edge, open source, data science/machine learning libraries/big data platforms (e.g. XGBoost, H2Oai, Spark, Hadoop, etc.)
Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)
Interpret and analyze data problems and guarantee data quality and integrity
Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques
Ensure that data projects align with organizational goals
Utilize data visualization tools to deliver insights to stakeholders.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.