World Wide Technology is looking for a Remote Data Scientist Intern

Position:

• Data Scientist Intern

Company:

• World Wide Technology (WWT)

Location:

• India

Job Type:

• Internship (Full-time)

Job Mode:

• Remote

Job Requisition ID:

• #24-1448

Years of Experience:

• No prior experience required; however, familiarity with specific skills and tools is expected.

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Company Description:

• Global Leader in IT Services:

  • World Wide Technology (WWT) is a prominent global player in the field of IT services and consulting, with a vast workforce exceeding 10,000 employees.
  • The company specializes in translating complex technology solutions into practical and actionable strategies for businesses.

• Commitment to Diversity and Inclusion:

  • WWT is deeply committed to fostering an inclusive culture that drives shared value across its people, business, and community.
  • The company invests heavily in Diversity, Equity, and Inclusion (DEI) programs to empower employees, ensuring they contribute meaningfully to both the company’s success and the communities they serve.

• Focus on Social Impact:

  • The company’s Global Community Impact program is a testament to its commitment to giving back to society through technology and innovation.
  • WWT aims to empower individuals and communities by driving social change through its technological expertise.

• Environmental Sustainability:

  • Environmental sustainability is a core value at WWT, with initiatives designed to mitigate the environmental impact of daily operations.
  • The company is dedicated to adopting sustainable practices that contribute to a greener planet, reflecting its responsibility toward global environmental stewardship.

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Profile Overview:

• Collaborative Role:

  • As a Data Scientist Intern at WWT, you will work closely with various teams, including business, engineering, and technology departments.
  • The role requires collaboration with internal and external stakeholders, including client interactions, to deliver data-driven business recommendations.

• Data Extraction and Processing:

  • You will be responsible for extracting data from customer source systems or databases into appropriate software or development environments.
  • The role involves conducting Exploratory Data Analysis (EDA) and data processing using programming tools like Python to analyze and interpret data effectively.

• Analytical Responsibilities:

  • The intern will utilize statistical and programming tools to analyze data and develop solutions that address specific business challenges.
  • Part of the responsibilities includes performing quality control on deliverables to ensure the accuracy and reliability of the data insights provided.

• Reporting and Presentations:

  • The intern will prepare reports and presentations that summarize findings and insights from data analyses.
  • You will also present these findings to various stakeholders, using visual displays of quantitative information to support business recommendations.

• Continuous Learning and Innovation:

  • Staying updated with advancements in Big Data, AI, and Deep Learning is crucial for this role, particularly in areas like Spark, AWS, Azure ML, and Pytorch.
  • The intern is expected to contribute thought leadership by proposing innovative algorithms and process improvements to solve unconventional problems.

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Qualifications:

Required:

• Understanding of Machine Learning:

  • Basic knowledge of supervised learning algorithms, including linear and logistic regression, as well as time series forecasting.
  • Familiarity with unsupervised learning algorithms such as K-Means and K-Nearest Neighbors (K-NN).

• Foundational Statistical Knowledge:

  • Basic understanding of statistics and hypothesis testing, which is essential for analyzing data and drawing valid conclusions.

• Programming Proficiency:

  • Experience in programming languages such as Python, R, or Java is required.
  • Understanding of functional and object-oriented programming (OOP) concepts is essential.

• Database Experience:

  • Basic knowledge of databases and proficiency in SQL for querying and managing data.

• Microsoft Tools Proficiency:

  • Proficiency in using Microsoft tools like Excel and PowerPoint for data analysis and presentation preparation.

• Communication Skills:

  • Strong communication skills, both written and verbal, to effectively convey technical information to non-technical stakeholders.

Preferred:

• Big Data Platforms:

  • Experience working with Big Data platforms, including Hadoop, Apache Spark, Hive, and HBase, is highly desirable.

• Deep Learning Toolkits:

  • Academic or project experience with Deep Learning toolkits like TensorFlow, Keras, Theano, PyTorch, or Caffe.

• UNIX Systems Experience:

  • Experience working with UNIX-based systems, including command-line utilities such as sed, awk, and Makefile.

• NoSQL Databases:

  • Experience working with NoSQL databases, which is beneficial for handling large-scale, unstructured data.

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Additional Info:

• Hands-On Learning:

  • This internship provides an excellent opportunity to gain hands-on experience with real-world data science challenges, enhancing your practical skills in the field.

• Mentorship and Growth:

  • You will have access to mentorship from experienced professionals, fostering your growth and development as a data scientist.

• Exposure to Cutting-Edge Technologies:

  • The role offers exposure to cutting-edge technologies in Big Data, AI, and Deep Learning, equipping you with the skills needed to stay ahead in the rapidly evolving tech landscape.

• Innovation and Creativity:

  • WWT encourages a culture of innovation and creativity, where interns are empowered to propose new ideas and solutions that push the boundaries of conventional thinking.

• Impactful Work:

  • Your work as a Data Scientist Intern will have a tangible impact on the company’s success, contributing to meaningful business outcomes through data-driven insights.

• Networking Opportunities:

  • The internship provides ample opportunities to network with professionals across various departments, enhancing your industry connections and career prospects.

Please click here to apply.

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