Data Scientist - #7410

Your opportunity

We are seeking an experienced and dynamic Data Scientist to join our team. You will be primarily responsible for driving data-oriented projects and transforming ambiguous business problems into clear, actionable insights as well as productionalizing insights. The ideal candidate is adept at understanding the business needs that are often quantitatively ambiguous and using large complex data sets to find opportunities for product and process optimization.

What You'll Do

• Analyzing complex datasets, applying advanced statistical methods as necessary (e.g., time series forecasting, classification, linear/logistic regression).
• Designing and deploying data-science and technology-based algorithmic solutions to address business needs.
• Translating data findings into actionable business insights and plans.
• Collaborating effectively with internal stakeholders, understanding their needs and being able to communicate data-driven recommendations.
• Presenting information using data visualization techniques and clearly communicating complex findings and ideas to non-technical stakeholders.
  
  

This role requires

• 3+ years of experience
• Proven experience as a Data Scientist, or in a similar role.
• PhD or Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field.
• Strong understanding and application of advanced statistical techniques and concepts, including but not limited to machine learning algorithms, classification, regression, and time series analysis.
• Proficiency with data analysis tools and languages such as Python, SQL, etc.
• Familiarity with data visualization tools (e.g., Looker, Tableau, PowerBI, etc.).
• Strong problem-solving abilities, business acumen, and excellent communication skills.
• Ability to work independently and with minimal supervision.Proven ability in managing and delivering on multiple, competing priorities.
• Prior experience with stakeholder management and ability to present complex data in a clear manner to non-technical audience.
  
  

Bonus points if you have

• Experience in Observability is a plus.
  
  

Please note that visa sponsorship is not available for this position.

Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.

If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com.

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Our hiring process

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.

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