Data Scientist - Analytics Data Product, Mid-Level

Data Scientist – Analytics Data Product, Mid-Level

Join to apply for the Data Scientist – Analytics Data Product, Mid-Level role at Jobright.ai

Data Scientist – Analytics Data Product, Mid-Level

3 days ago Be among the first 25 applicants

Join to apply for the Data Scientist – Analytics Data Product, Mid-Level role at Jobright.ai

Amazon is a fast-growing startup passionate about building solutions in the B2B space. The Data Scientist III role involves leveraging machine learning and generative AI to enhance customer engagement and improve sales productivity, while also driving innovative solutions and strategies within the team.

Responsibilities:

• Leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history.

• Perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions.

• Partner with product management and technical leadership to identify opportunities to innovate customer journey experiences.

• Identify new areas of investment and work to align product roadmaps to deliver on these opportunities.

• Design and lead large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems.

• Use broad expertise to recommend the right strategies, methodologies, and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business.

• Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners.

• Work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience.

• Prototype and test new ideas, iterate quickly, and deploy models to production.

• Conduct in-depth data analysis and feature engineering to build robust ML models.

Qualifications:

Required:

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

• 5+ years of data scientist experience

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• Experience with statistical models e.g. multinomial logistic regression

Preferred:

• Experience working on personalisation and customer journey analysis

• Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations)

Company:

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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