R-17108 Trainee Data Science (US Shift Working )

Rackspace Technology; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company in multicloud solutions is seeking a Data Scientist to improve business decision-making through analytical models and machine learning techniques. Candidates will contribute to various data science projects and must possess a degree in a related field along with proficiency in several programming languages. This role is integral to innovating new solutions and collaborating within the team.

Qualifications

• Experience with machine learning techniques and statistics.
• Proficiency in Python, R, SQL, and data visualization tools.
• Strong analytical skills with attention to detail.

Responsibilities

• Develop analytical models for business decision-making.
• Experiment with machine learning techniques on projects.
• Contribute to data science team discussions and projects.

Skills

Machine Learning

Statistics

Analytical Skills

Communication

Attention to Detail

Multi-tasking

Education

Degree in Management Information Systems, Data Science/Analytics, Computer Science, or Statistics

Tools

Python

R

SAS

SQL

Tableau

Power BI

Spark

AWS

Google Cloud

Microsoft Azure

Job description

· To develop analytical models for insight generation that improve business decision making.

· Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.

· Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.

· Will contribute to data science team discussions, providing insight on current approaches and methods.

· Follows established MLOps practices in software development.

· Data science model selection and implementation.

· Working independently while collaborating well within the team.

· Have worked autonomously and delivered results on schedule.

• Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics, or equivalent formal training
• Proficient with machine learning and statistics
• Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost), and clustering (k-means)
• Software development experience
• Proficient in Python/R/SAS, SQL, Data Visualization (e.g., Tableau or Power BI), deep learning frameworks, Spark
• Excellent communication skills
• Proficient with cloud computing environments such as AWS, Google Cloud, Microsoft Azure
• Participated in numerous data science projects
• Utilized several data science methodologies
• Attention to detail
• Multi-tasking
• Strong analytical skills

About Rackspace Technology

We are the multicloud solutions experts, combining our expertise with the world’s leading technologies across applications, data, and security to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing scalable solutions, building and managing those solutions, and optimizing returns into the future. Named a best place to work by Fortune, Forbes, and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers, and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our shared goal: to be valued team members on an inspiring mission. We bring our whole selves to work every day, embracing the idea that diverse perspectives fuel innovation and enable us to best serve our customers and communities worldwide. We welcome your application and are committed to equal employment opportunity regardless of age, race, gender identity or expression, disability, nationality, ethnicity, religion, sexual orientation, or any other protected characteristic. If you require accommodations due to a disability or special need, please let us know.