Execute data vision strategy and provide thought leadership to business.
Develop analytical tools and capabilities to enable data query and respond to requests.
Deliver Advanced Analytics and Models:
Apply advanced statistical techniques (especially AB testing) and machine learning models.
Research new modeling methods and experiment designs.
Data Exploration:
Ingest, cleanse, and profile large structured and unstructured datasets.
Generate consumer insights from big data.
Data Visualization and Storytelling:
Use various tools/technologies to visualize and storyline insights
Recommend strategies in technical and non-technical language.
Qualifications:
Required:
Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
Proficiency in Python (2+ years) and SQL (3-4+ years).
Experience with data visualization tools (Tableau, Power BI, Matplotlib).
Strong understanding of statistical methods and machine learning techniques.
Ability to work with large datasets and cloud-based platforms (AWS).
Excellent problem-solving, critical-thinking, and communication skills.
Preferred:
Masters degree in Data Science or related field.
Experience in a fast-paced environment.
Experience with Dash/Shiny frameworks, Git, Apache Airflow, and AWS SageMaker
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: IT & Information SecurityRole Category: IT & Information Security - OtherRole: IT & Information Security - OtherEmployement Type: Full time