Senior Data Scientist Job Description

A senior data scientist is a senior-level employee at a technology company with significant experience in the field and a role requiring advanced insight and high-level problem-solving skills.

A senior data scientist typically has at least five years experience in the field, and is an expert at working with big data.

A senior data scientist typically possesses a broad knowledge of a number of disciplines, including the math, computer science, and statistics principles that form the foundation of the field.

A senior data scientist is well-rounded, with skills in mathematics, computer science, statistics, and knowledge of business, particularly marketing, sales, and operations.

Job Brief:

We’re looking for a Senior Data Scientist who can help us to improve our data collection and analysis methods. The ideal candidate will have a strong background in statistics and data mining, and be able to work with large data sets. They will also be able to develop new ways to visualize data and help us to better understand our customers.

Senior Data Scientist Duties:

• Work closely with business owners and executives to propose, develop, implement, test, and evaluate digital and data-based solutions
• Create and maintain business plans for digital and data-based projects (i.e., analytics, social media, SEO, etc.)
• Develop predictive algorithms that analyze data and recommend data-driven solutions
• Develop data models, data pipelines, and data stores
• Manage data resources, data preparation, and data quality assurance
• Drive data-driven decision-making by gathering, analyzing, and disseminating business insights
• Research data visualization software and develop data visualization reports
• Establish and maintain data governance processes
• Deliver results and data insights to stakeholders through presentations, data visualizations, or data models
• Collaborate with engineers, data scientists, and designers
• identify and mitigate risks, as well as create and develop mitigation

Senior Data Scientist Responsibilities:

• Develop research and analytical methods for forecasting, modeling, and optimizing operations
• Conduct data mining, predictive analytics, and ad hoc analysis using R, Python, SQL, Tableau, and other business intelligence software
• Conduct quantitative and qualitative research to understand user needs and trends
• Manage a team of data scientists, analysts, and data engineers
• Provide detailed recommendations for implementation
• Promote the data science process and methodology
• Provide thought leadership on data science
• Present findings to management
• Create dashboards and visualizations to communicate results
• Provide ongoing mentorship and coaching to data science team
• Maintain the company’s data science capabilities

Requirements And Skills:

• PhD or equivalent experience in data science
• 5+ years of experience collecting and cleaning data, building analyses, and prototyping
• Knowledge of statistical and machine-learning methods

At [Company Name], we believe that diversity and inclusion are essential to success. We are committed to building a team that reflects our values of equality and inclusion. We welcome applications from people of all races, religions, national origins, genders, , and ages. We also encourage veterans and individuals with disabilities to apply.