Lead Manager Data Scientist
Frisco, United States
WorldLink US
WorldLink is a leading provider of Data & Analytics services with a global reach and 25 years of experience.POSITION TYPE: Full Time
LOCATION: Frisco, TX
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 Lead Manager Data Scientist with an innovative mindset and technical skillset to join our growing team at a Fortune 100 manufacturing client and work as part of the client delivery team employing the delivering business insights.
As the AI/ML and Gen AI space matures, WorldLink's Advanced Analytics and Machine Learning services are ready to assist clients in discovering insights through Gen AI, AI/ML, and Optimization techniques in answering data-driven questions through visualization and developing profitable business growth perspectives leveraging their data assets.
Role and Responsibilities:
- Independently conduct research and development efforts (prototypes, proof of concepts, and production/operational initiatives).
- Conceptualize, design, and develop advanced analytics & machine learning and Optimization solutions that incorporate complex data into actionable insights and prescriptive models.
- Help with developing best practices for machine learning algorithms presentation, sharing insights, and recommending business strategies that leverage the algorithms.
- Collaborate with data engineers, data visualization specialists, application developers, and our clients to understand their challenges and help craft solutions that solve their toughest, most critical problems.
-
6-10 years of relevant experience.
- Bachelor's Degree in Computer Science or a similar technical field is preferred.
- Must have hands-on experience in predictive analytics and statistical tools, machine learning algorithms, and big data tools.
- Must have hands-on experience with Optimization models (Linear Programming) and associated tool sets (Optimizers: Gurobi, CPLEX, GLPK)
- Must be able to identify, analyze, and interpret trends or patterns in complex data sets using various regression, classification, or clustering ML approaches.
- Good familiarity with classic ML approaches. NLP exposure & Deep Learning proficiency.
- Must have current Python programming experience.
- Experience with operationalizing ML algorithms into production business processes: e.g., experience with containerization (such as Docker, Kubernetes, or Open Shift), competency with MLOps tools (such as Kubeflow, MLflow).
-
Self-motivated
individual with the ability to thrive in a team-based or
independent environment.
- Detail-oriented with strong
organization skills.
- Ability to work successfully in a varying-paced environment with tight deadlines
- Limited supervision
and the exercise of discretion.
- SQL
- Basic Visualization skills.
- Demonstrable solution expertise (e.g., Supply Chain, Customer Behavior, Marketing & Pricing, Risk & Fraud, Customer Sentiment, Maintenance & Operations).
- Articulate applicability of analytics expertise across a breadth of industry verticals.
- Excellence in a consultative setting, advising clients through the challenges of building complex analytic solutions that demand a multi-part engagement construct.
- Ability to create visualizations to represent data for consumption by different audiences.
- Niches: Gen AI, LLMs, LLM – finetuning.
- Creative ability, consulting skills, leadership qualities, credibility, and self-confidence.
- Excellent verbal and written communication skills and an eye for aesthetic design.
- Willingness to facilitate requirements gathering/analysis workshops.
- A strong work ethic based on a strong desire to exceed expectations.
- Ability to manage time and work independently to complete tasks.
- Ability to build consensus with business partners and mediate when appropriate.
- Excellent analytical, research, critical thinking, organizational, and planning skills.
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)
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Classification Clustering Computer Science Consulting Data visualization Deep Learning Docker Generative AI Kubeflow Kubernetes LLMs Machine Learning MLFlow MLOps NLP Python Research SQL Statistics
Perks/benefits: Career development Health care Startup environment
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