Lead Data Scientist

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Overview

The role of Lead Data Scientist is being offered at World Wide Technology (WWT), a prominent global technology solutions provider established in 1990. The company has a substantial annual revenue of $20 billion and is known for leading the AI and Digital Revolution. The position is fully remote and is primarily targeted at candidates with significant experience in data analysis and data science. WWT has a reputation for fostering a collaborative culture that encourages innovation and is consistently ranked among the best workplaces.

Job Description

As a Lead Data Scientist, you will be tasked with collaborating within a highly skilled, multi-disciplinary team, addressing a variety of complex business challenges. Your core responsibilities will include providing analytic solutions to clients across different domains, including healthcare, mining, financial services, and retail. This involves not only leveraging established algorithms but also developing new algorithms and intellectual property (IP) based on your understanding of the underlying principles of data science.

Responsibilities

The various tasks expected from the Lead Data Scientist include:

• Collaborating with customers and internal teams to promptly respond to business issues.
• Handling large datasets and solving non-routine analysis problems using advanced analytical techniques.
• Conducting end-to-end analyses, encompassing data gathering, processing, analysis, and the preparation of deliverables.
• Engaging in client interactions, which may include in-person meetings, to provide business recommendations based on the analysis results.
• Developing analytical methods and models for forecasting and optimization to provide actionable insights for clients.
• Continuously enhancing internal capabilities related to data science, particularly in deep learning and complex statistical analysis.

Qualifications

To be considered for this role, candidates are expected to meet the following qualifications:

• Education: A Ph.D. in a quantitative field is preferred, but Master’s or Bachelor's degrees in relevant areas such as statistics, computer science, economics, mathematics, or other STEM disciplines are acceptable.

• Experience: Candidates should have 6-10 years of relevant work experience in data analysis or related fields, with experience as a statistician, data scientist, or data engineer being particularly beneficial. Ph.D. and post-doctoral experience may also qualify.

• Technical Proficiencies: Candidates must demonstrate expertise in:

  • Writing SQL queries and utilizing data transformation techniques.
  • Employing Python/R for data analysis and analytics, including Jupyter notebook.
  • Using Excel and PowerPoint for analysis presentations.
  • Developing scripts for automating ETL tasks and working with version control tools, primarily Git.
  • Knowledge of AI/Deep Learning applications for various data formats like text, images, and videos.
  • Cloud computing and data streaming technologies.

Skills

In addition to the technical qualifications, the ideal candidate should exhibit:

• Curiosity, humility, and a learning-oriented mindset, summarized as having a Beginner’s Mind.
• Strong problem-solving skills with demonstrated ability to apply appropriate statistical tools for specific data analysis challenges.
• Excellent communication skills, both verbally and in written formats, with experience in presenting complex quantitative information visually.
• The capacity to adapt to changing project requirements and stakeholder needs.

Salary and Benefits

The estimated salary for this role ranges from $150,000 to $175,000 annually, depending on various factors including shift, experience, skill set, and performance. It is essential to note that this figure may vary for different locations. Additionally, WWT offers a comprehensive benefits package that includes:

• Health and Wellbeing: Health, dental, and vision care, along with Employee Assistance Programs and onsite health centers.
• Financial Benefits: Competitive salary, profit-sharing, 401(k) matching, life and disability insurance, and tuition reimbursement.
• Paid Time Off: 20 days of paid time off (PTO), sick leave, and 10 holidays per year, along with parental and military leave.
• Additional Perks: Benefits for nursing mothers, voluntary legal aid, pet insurance, and employee discounts.

Company Culture

WWT emphasizes the importance of developing a nurturing environment where employees can thrive based on their skills, performance, and dedication. The company predominantly focuses on creating a culture of belonging that empowers innovation and collaboration. The mission is to bridge the gap between business needs and technology implementation effectively.

Overall, the Lead Data Scientist position at WWT presents a unique opportunity for individuals possessing a blend of technical expertise and a passion for solving real-world problems. The collaborative atmosphere, competitive salary, and robust benefits package make this role particularly appealing to job seekers in the data science field. Candidates are encouraged to apply if they meet the qualifications and are excited about contributing to innovative solutions in various sectors.

This job offer was originally published on jobicy.com