Sr. Data Scientist
Data Scientist Responsibilities:
- Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements
- Develop data models top optimize and improve work of e-commerce functions
- Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance
- Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance
- Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics
- Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape
- Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science).
- Must have data modeling, predictive analytics and/or machine learning experience
- 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software
- MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS
- Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI
- This is not a developer position, but you must possess strong SQL coding skills
- Experience in data mining and understanding of machine-learning and operations research is an advantage
- Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills
- Experience in data mining and understanding of machine-learning and operations research is an advantage
- Proficiency in Excel, PowerPoint, MS Access is a plus
- Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark
- Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset
- Knowledge of Python will be a plus
. ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.
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