Data Science Graduate Intern

Data Science Graduate Intern jobs at Big-Data.digital

Data Science Graduate Intern

Job Description


Intel`s BMG (Business Management Group) within our Sales and Marketing Group is responsible for setting the price, forecasting the demand, and allocating the supply of CPU`s (Central Processing Units) and other products that make nearly all of Intel`s 70 B of revenue. We are undertaking a major initiative to modernize our tools, processes, and methods to take advantage of modern analytic techniques. We refer to the collection of Machine Learning, AI, Advanced Analytics and Data Science techniques as MAAD. A historically data-driven and data-rich organization, we aspire for Intel to build a world-class analytics practice with both top and bottom-line impacts. This role offers a unique opportunity to use your skills as a Data Scientist to have a major impact on a multi-billion dollar business.

Data scientist in BMG roles and responsibilities:

  • Use predictive modeling, statistics, machine learning, data mining, and other data analysis techniques to collect, explore, and extract insights largely form structured data sets (e.g. Econometric data, historical time series forecasts and actuals, and others) and some unstructured data (e.g. In future may include things like Salesforce or web scraping, sentiment extraction, etc...).

  • Develop and implement models, algorithms and potentially software and applications apply mathematics to data, perform large; small scale experimentation to translate data into intelligence, solving a variety of business problems and enabling successful business strategy.

  • Develop partnerships and collaborate with Business Owners (Business Analysts/Decision-makers) to develop solutions that address key business challenges.

  • Act as a Data Translator to Communicate and understand the value of analytic work, articulate and advocate for work on the basis of estimated/calculated business impact.

  • Build proofs of concept locally and define and convey the data requirements to data engineers or solution architects in order to build our data sets and records into a cross org data pipeline, including: collecting, cleaning, integrating, storing, handling, transforming, querying, analyzing, and visualizing data.

  • Aide in the selection of the focus areas/experiments/project selection defining the and assessing technical due diligence criteria.

  • Assist business colleagues in identifying causal relationships, applying inferences, and finding patterns and relationships in data.

  • Define and apply technical due diligence criteria for project selection.

  • Work hand in hand with the MAAD Program manager to advocate for and build a community of practice for MAAD across the organization.

As a successful Data scientist, you will demonstrate:

  • Ability to influence and communicate.

  • Ability to experiment, learn, persist through setbacks and solve difficult problems with a methodical approach.


Qualifications


This position is not eligible for employment-based visa/immigration sponsorship. Intel sponsors, individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master`s or PhD degree, or a Bachelor’s degree with three years’ related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a Bachelor’s degree and less than three years’ experience.

You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research and relevant previous job and/or internship experience.

Minimum Qualifications:

  • Pursuing Master’s degree in in statistics, economics, computer science, mathematics/physics, machine learning, operations research, and or equivalent expertise applied to business decision-making (proven via real work experience).
  • 1+ years of experience with one or more of the following tasks and programs:
  • Driving measurable impact to organizations through applied analytics

  • Scripting languages (i.e. Python, Perl, R)

  • Working with medium sized data sets (10`s of thousands of data points, hundreds of variables, thousands of engineered variables/interaction effects)

Preferred Qualifications:

  • 1+ years of experience with:
  • Conducting analyses of data to address pricing, demand forecasting, supply/demand matching or other business operations or sales operations functions.

  • Machine learning and analytics packages experience (e.g. R, Data Robot, Azure ML studios, Stata, SAS Viya, and others like Mahout, Matlab, Octave, Weka if applicable.

  • Data cleaning and data curation using scripting techniques in Python/R

  • Programming languages (i.e. Java, C/C++, SQL).

  • Dashboarding experience (i.e. Tableau/Power BI/Plotly-Dash)

  • Big Data Technologies (i.e. Hadoop, HBase, Lucene/Solr)

  • Familiarity with DL frameworks (Tensor Flow, Pytorch, CNTK, MXNet, Paddle paddle)

  • Using open sourced solutions from the wild and pointing them to good use internally.

Inside this Business Group


Intel`s Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.


Other Locations


US, California, Folsom;US, California, Santa Clara;Virtual US and Canada


Intel Corporation will require all new U.S. employees to be fully-vaccinated for Covid-19 as a condition of hire unless they have an approved
accommodation in place under applicable law. Newly-hired employees will be required to provide proof of vaccination prior to their start date.


Posting Statement


All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Annual Salary Range for jobs which could be performed in US, Colorado:
$52,000.00-$147,000.00


Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here
Intel is committed to a culture of accessibility. Intel provides accommodations to applicants and employees with disabilities. Find information and request accommodation here

GET THE BOOK



Published 2021-12-11

Intel looks for a Data Science Graduate Intern in Hillsboro, OR 97124 location.

How much Data Science Internship professional earns at Intel?

The proposed salary for Data Science Internship position at Intel is Not disclosed.

Data Science Graduate Intern responsibilities at Intel

According to the common industry standard, Data Science Internship specialist is in charge for the following activities.

Required Data Science Internship qualifications at Intel

To be disscussed with candidate