Junior Data Scientist

؜ - ؜مصر ؜ -

Job details

As a member of the Data Science team, you will focus on working on cutting
edge customer projects in diverse area from product recommendations, fraud
detection, supply chain optimization and demand forecasting.


Full of energy, fresh ideas, and ambition, you are the sort of person who
loves learning new things, is open to being challenged and has the confidence
to challenge us too. We are looking for fresh graduates (with < ‎1 yr of post-
graduation experience) with the enthusiasm, creativity and business acumen to
drive real innovation, and become our future leaders.


In this role, you should be highly analytical with a knack for analysis, math
and statistics. Critical thinking and problem-solving skills are essential for
interpreting data. We also want to see a passion for machine-learning and
research.


Your goal will be to help our customers analyze trends to make better
decisions.


Responsibilities



  • To develop analytical models for insight generation that improves 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.


Requirements



  • Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/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 in environments such are 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. We combine 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 solutions that scale, building
and managing those solutions, and optimizing returns into the future. Named a
best place to work, year after year according to 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 connection to a
central goal: to be a valued member of a winning team on an inspiring mission.
We bring our whole selves to work every day. And we embrace the notion that
unique perspectives fuel innovation and enable us to best serve our customers
and communities around the globe. We welcome you to apply today and want you
to know that we are committed to offering equal employment opportunity without
regard to age, color, disability, gender reassignment or identity or
expression, genetic information, marital or civil partner status, pregnancy or
maternity status, military or veteran status, nationality, ethnic or national
origin, race, religion or belief, sexual orientation, or any legally protected
characteristic. If you have a disability or special need that requires
accommodation, please let us know.

Job Summary

  • Advertiser: Rackspace
  • Announcement date: 04/07/2023
  • Type of employment: -
  • Experience level: -
  • Educational level: -
  • Salary: -
  • Phone number: -

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