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Advanced Analytics Specialist
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The company is hiring a Senior Data Scientist to drive data science initiatives focused on behavior analytics.
This role offers the opportunity to leverage skills and passion for innovative technology to make an impact on business outcomes.
As a Senior Data Scientist, you will take ownership of scaling data science initiatives to empower associates and provide personalized service experiences to clients.
- Design and develop embedded analytics solutions leveraging NLP, Python, and SQL.
- Lead the design and implementation of data-driven solutions to address business problems.
- Develop and deploy machine learning models to improve business processes and outcomes.
- Communicate complex analytical findings in a clear and concise manner to technical and non-technical stakeholders.
Key Responsibilities:
- Apply NLP techniques to extract information from unstructured data and produce actionable insights.
- Work closely with business stakeholders to understand needs and define analytic requirements.
- Extract and analyze data using Python and/or SQL, and communicate insights back to the business through presentations and visualizations.
- Stay current with industry trends, emerging technologies, and best practices in data science and machine learning.
- Bachelor's degree in relevant coursework or a related field with 5+ years of experience in data science, or master's degree in a related field with 3+ years of experience in data science.
- Strong programming skills in Python, R, or similar languages.
- Proficiency in data manipulation and analysis using SQL and other tools (Databricks, AWS).
- Strong understanding of statistical methods and data modeling techniques, including neural networks.
- Experience with data visualization tools (e.g., Tableau, PowerBI).
- Proven experience in crafting, testing, and deploying ML projects in Python with keen focus on eliciting optimal outputs.
- Experience working directly with business stakeholders to understand needs and translate into data science requirements, techniques, and solutions.
- Effective communication of complex analytical findings to both technical and non-technical stakeholders.