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USC & GC ONLY :: 100% Onsite :: Data Science Engineer :: Contract :: Gaithersburg, MD 20877 at Gaithersburg, Maryland, USA
Email: [email protected]
Hi All,

Hope you are doing well.

This  is Rohit from Convex Tech. I am reaching you regarding a job opportunity which I am trying to fill for a client of ours. Please take a look over the job description below and let me know if you have any suitable consultants for the same.

Job Title:
Data Science Engineer

Location: Gaithersburg, MD 20877(100% Onsite:- 5 days a week onsite)

Mode of job: Contract

Interview:- Immediate

US CITIZENS & GREEN CARD HOLDERS ONLY

TELECOMMUNICATION DOMAIN EXPERIENCE IS MANDATORY

EXPERIENCE REQUIRED:- 10+ YEARS

Top 3 Skills:

Data Science/Data Engineer experience ideally with someone that has worked with networks/ also has network engineering background.

Good to target candidates with ViaSat, Qualcomm, Verizon, Comcast, AT&T, Intelsat, Starlink

5+ years of experience programming using C/C++, java, Python, Go and Pandas.

AWS Cloud 

Additional Notes:

Why the role is open: Contract need for OneWeb Contract 

Working on a project called OneWeb -- constellation of low orbiting satellites (they are partnering with OneWeb)

Typically Hughes has geo satellites (really far away) so the signal is not as good because there is a lot of latency

This project is for Neo satellites (low orbiting satellites) and they can have better signal so there are fewer issues with latency, lagging, etc.

Very cutting edge technology, newest generation of satellites/technology

Job Description:

Contractor - Sr Engineer - Data Science for data science innovation. This position will be located onsite at our headquarters in our Gaithersburg facility , MD.

Responsibilities:

Provide technical leadership and identify solution for complex problem.

Must be able to understand how to design and build a deployable application that uses any ML model that they design and recommend

Recommend, track, and report on the business goals and the resulting technical goals, projects, and technical tasks.

Perform proof of concepts, identify initial data wrangling, and then provide guidance for development of the productionized version of the capabilities.

Analyze data and build predictive models based on stakeholder input.

Basic Requirements:

Bachelor's degree in computer science, Data Science or related technical field

10+ years of technical experience doing data science in a Telecommunications company

5+ years of experience performing data science and programming

5+ years of experience using AWS Cloud technology

5+ years of experience programming using C/C++, java, Python, Go and Pandas.

Preferred Qualifications:

Master's degree in data science

Knowledge of relational databases such as MySQL , snowflake and BigQuery.

Must have strong DS design knowledge and has experience in some ML/Ops/DevOps

Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries.

Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) Or Tableau.

Knowledge and experience in leading analysis efforts for large operational networks .

Advanced analytical and problem-solving abilities.

Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.

Identify innovative solutions that apply data science, AI/ML technology to the problem so that a development team can then take that and build an application that leverages the DS approaches.

Familiarity with software version control with git.

Strong work ethic and intellectual curiosity.

Team player with excellent communication and problem-solving skills.

Thanks and Regards

Rohit Nath

Recruitment Account Manager

Email:
[email protected]

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Keywords: cprogramm cplusplus artificial intelligence machine learning access management rlang information technology golang Maryland
USC & GC ONLY :: 100% Onsite :: Data Science Engineer :: Contract :: Gaithersburg, MD 20877
[email protected]
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Sat Sep 07 00:55:00 UTC 2024

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