Data Scientist/Software Engineer

Irving, United States

WorldLink US

WorldLink is a leading provider of Data & Analytics services with a global reach and 25 years of experience.

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TITLE: Data Scientist/Software Engineer


POSITION TYPE: Full Time (W2)                          


LOCATION: Irving, Texas

 



ABOUT WorldLink:

 

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.

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 https://worldlink-us.com.

WHO we’re looking for:

We are looking for a Data Scientist/Software Engineer with a blend of data science and software engineering experience, ensuring comprehensive understanding of project requirements.

 

Role and Responsibilities:

  • Prepare data for analysis by cleaning, filtering, and transforming it. Engineer features to enhance model performance.
  • Choose suitable machine learning algorithms and evaluate model performance using relevant metrics.
  • Create visualizations to represent data effectively for various stakeholders. Communicate insights derived from data analysis and ML models.
  • Deploy ML models in production environments. Manage model hyperparameters, training, retraining, version tracking, and governance.
  • Collaborate with teams and document the ML pipeline, including data sources, feature engineering, and model selection.
  • Stay updated with the latest ML advancements and engage in self-learning and research activities.

Required Experience and Education:

  • Bachelor’s Degree in computer science or similar technical field w/4+ years' experience or Master's Degree in computer science or similar technical field w/1+ years' experience.
  • Experience encompassing the following areas:
  • Experienced software engineer in full lifecycle software development (from requirements phase to production deployment).
  • Seasoned Data Scientist working with AI/ML Models, including Natural Language Processing (NLP) to extract valuable insights from data.
  • Deep expertise in Full Stack Development and Python programming.
  • Proficient in working with Databases (MongoDB preferred)
  • Adept in DevOps practices, including CI/CD pipelines and Jenkins deployment, with the ability to create change requests for code deployment.
  • Document-savvy, with a preference for candidates willing to handle documentation tasks, and have completed one project, End to End – SDLC, experience.

Necessary Skills and Attributes:

  • Self-motivated individual with the ability to thrive in a team-based or independent environment.
  • Detail-oriented with strong organization skills.
  • Ability to work in a fast-paced environment.
  • Limited supervision and the exercise of discretion.
  • 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.
  • Able to handle tight deadlines.
  • Willing to learn new technologies.
  • BERT, Tiny BERT, PiTorch, Random Forrest – Machine Learning models, LLM (GPT, Llama, Mistral, Mixtral etc.) and Prompt Engineering.
  • MongoDB, Oracle, SQL Server – Databases
  • Python, R, NodeJS – Programming languages - Must be highly proficient in coding.
  • Splunk, Bit Bucket, Jenkins, VSCode, AutoSys – Development and deployment tools.

Physical Demands:

The physical demands described here are representative of those that must be met by contract employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the contract employee is occasionally required to stand, clean, crawl, kneel, sit, sort, hold, squat, stoop, stand, twist the body, walk, use hands to finger, handle, or feel objects, tools or controls, reach with hands and arms, climb stairs or ladders and scaffolding, talk or hear, and lift up to 20 pounds. Specific vision abilities required by the job include ability to distinguish the nature of objects by using the eye. Operate a computer keyboard and view a video display terminal between 50% - 95% of work time, including prolonged periods of time. Requires considerable (90%+) work utilizing high visual acuity/detail, numeric/character distinction, and moderate hand/finger dexterity.

Performs work under time schedules and stress which are normally periodic or cyclical, including time sensitive deadlines, intellectual challenge, some language barriers, and project management deadlines. May require working additional time beyond normal schedule and periodic travel.

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 on the basis of 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.


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: BERT Big Data CI/CD Computer Science Data analysis DevOps Engineering Feature engineering GPT Jenkins LLaMA LLMs Machine Learning ML models MongoDB NLP Node.js Oracle Pipelines Prompt engineering Python R Research SDLC Splunk SQL

Perks/benefits: Career development Health care Startup environment Team events

Region: North America
Country: United States

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