Senior Data Scientist

Key Skills

Microsoft-Excel, Python Programming, SQL, AWS, PowerBI, Apache Hadoop, Data science techniques, Looker, Natural Language Processing (NLP), Tableau, R Programming, Amazon EMR, SPARK Programming, Databricks, SAS

Job Description

The Data Scientist works to solve complex business problems by creating insightful and impactful analysis, models, and recommendations. Past examples of these include customer journey, partnership recommendation models, opportunity forecasting, incrementality, industry benchmarks, and customer analysis. Working with internal teams and clients, the Data Scientist will drive end to end solution development, ranging from problem discovery with stakeholders, development, and launch.

With CJ's variety of clients ranging from online retail, travel, finance, and services the Data Scientist will learn a wide variety of different businesses, and creatively problem solve using their Data Science expertise in collaboration with other cross-functional teams. A strong candidate will have a passion for deriving actionable insight from complex data, working directly with stakeholders to define business problems, and innovating to create elegant impactful solutions to drive growth for the business. An excellent candidate will combine this passion with ecommerce experience, and work experience bringing solutions to life using modern data science technologies and solutions.

Core Responsibilities

• Collaborate with internal stakeholders to find the root of a problem and develop well defined data problems
• Develop new data solutions and insights via an end to end process from problem definition, data acquisition, data processing/cleaning, analytics/insights, deliverable development, and quality control (QA/QC)
• Acquire data from a variety of different data sources utilizing Spark, Python, SQL, R, or similar
• Appropriately account for the timeliness, quality and accuracy of all assignments
• Manage multiple projects concurrently
• Present technical solutions to internal and external stakeholders in a formal setting, effectively communicating key concepts and functionalities
• Effectively manage client expectations via direct and frequent communication with high quality results
• Develop front end deliverable solutions for stakeholders utilizing BI tools such as Tableau, Cognos, Excel, or similar
• Gain mastery over business problems, and proactively innovate with new analyses and approaches

Qualifications

• Bachelor’s degree in a quantitative discipline (e.g., data science, statistics, economics, mathematics, computer science) or significant relevant coursework/experience
• 2-3 years professional experience with data analysis or business intelligence or a master’s in data science or closely related field.
• Demonstrated ability to improve performance by deriving actionable insight from complex datasets
• Experience using Python, R, or SQL on large datasets (or related environments like SAS, Spark, Hadoop, EMR, Python, etc.)
• Strong technical skills and analytic thought process with excellent attention to detail
• Experience creating functional and clean data visualizations utilizing BI solutions (Tableau, Power BI, Looker, Domo, etc)
• Expertise with Microsoft Office products; including Excel, PowerPoint, and Outlook
• Effective organization and time management skills
• Strong critical thinking and problem-solving skills
• Excellent verbal and written communication skills
• Self-motivator and collaborative team player with strong interpersonal skills
• Desirable Qualifications:
• Advanced degree (MS/PhD) in Statistics, Economics or other quantitative discipline
• Professional experience with AWS, Databricks, Spark, Python
• Professional experience in customer journey, attribution modeling, churn modeling, predictive analytics, customer segmentation, feature creation, statistical testing, a/b testing, production curve modeling, NLP, and partner recommendations.
• Professional analytical consulting experience with clients in Retail, Finance, Travel, or Home and Business Service