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Senior Data Scientist

Company: WorldLink US
Location: Irving
Posted on: November 19, 2021

Job Description:

TITLE: SDE - Sr. Data Scientist
LOCATION: Irving, TX (Remote)

ABOUT WorldLink:
From AI/ML to next-generation communications, WorldLink is the engine driving transformation for the world's leading enterprises, bringing top talent, skills, and technology expertise together to power the next generation of innovations.
Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning. We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition, we're passionate, and we love tough problems and new challenges.
You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.
For more information about our craft, visit
WHO we're looking for:
We are looking for a SDE - Sr. Data Scientist who will be responsible for the following:
Primary Responsibilities:
5%: Understand customers' needs, challenges/pain-points and where appropriate employ data and advanced analytics to formulate relevant solutions
5%: Collaborate with the customer to define the solution evolution - from prototype to pilot to production operationalized solution and enhancements roadmap
20%: Source, ingest, wrangle, and explore customers' data assets to identify relevant patterns, insights and inform feature engineering
30%: Develop advanced analytics models employing statistical modeling, machine learning, neural networks/deep learning, and cognitive techniques (such as natural language processing and image recognition)
5%: Communicate analytical insights, model recommendations and technical approaches in manner that is consumable for business stakeholders/end-users
10%: Research and recommend the appropriate technology stack and advanced analytics frameworks - going beyond the frameworks listed in this job description, if necessary
5%: Ensure all work products are of the highest quality - sourcing feedback from peers and supervisors, as appropriate to validate approaches, methodologies, findings, and results
20%: Coordinate with data science-ML/AI peers as well as big data engineers, cloud architects, web-UI/UX engineers, application developers and others as required to ensure that the analytical solutions are successfully integrated into the customers' business processes in their production operational environment
Required Education and Experience:
Bachelor of Science in Computer Science, Computer Engineering, or related field required.
6-10 years of relevant experience required.
Necessary Experience and Skills:
Demonstrable experience that influenced/transformed enterprise-scale business processes (such as, Supply Chain, Customer Analytics, Marketing & Pricing, Risk & Fraud, Sentiment Analysis, Operations)
Excellence in a consultative setting, advising clients through the challenges of building complex analytic solutions that demand a multi-part engagement construct
Proven competency with translating complex algorithms or logic flows into consumable content for business stakeholders.
Proficient with Machine Learning, Deep Learning & Natural Language Processing (NLP) algorithms
Hands on experience with cloud technologies, big data platforms, advanced analytics, and related programming languages
Desirable Technical Skills:
Familiarity with Cloud environment (AWS, MS Azure, GCP)
SQL, Hadoop/Hive, Elastic, Spark, R, Python, Scala
Frameworks/libs: Scikit-Learn, TensorFlow/Keras, PyTorch, Spacy, Gensim, BERT, Hugging Face transformers, Feature Tools
Deployment engines: Databricks/MLFlow, AWS Sagemaker, Kubeflow, Seldon
Familiarity with HTTP and invoking web-APIs
Personal Skills:
Experienced in managing work with distributed teams
Experience working in SCRUM methodology
Proven sense of high accountability and self-drive to take on and see-through big challenges
Confident, takes ownership, willingness to get the job done
Excellent verbal communications and cross group collaboration skills
WHAT we'll bring:
During your interview process, our team can fill you in on all the details of our industry-competitive benefits and career development opportunities. A few highlights include:
--- Medical Plans
--- Dental Plans
--- Vision Plan
--- Life & Accidental Death & Dismemberment
--- Short-Term Disability
--- Long-Term Disability
--- Critical Illness/ Accident/ Hospital Indemnity/ Identity Theft Protection
--- 401(k)
WHAT you should know:
Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. WorldLink is an Equal Employment Opportunity and Affirmative Action employer. All employment at WorldLink is decided based on qualifications, merit, and business need. We endeavor to continue our footprint as a diverse organization by highlighting opportunities for all people. WorldLink considers applicants for all positions without regard to race, color, religion or belief, sex, (including pregnancy and gender identity), age, national origin, political affiliation, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. People with disabilities who need assistance with any part of the application process should contact us.

This job description is designed to cover the main responsibilities and duties of the role but is not designed to be a comprehensive list of all.

Keywords: WorldLink US, Irving , Senior Data Scientist, Other , Irving, Texas

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