Senior Data Scientist / ML-NLP Engineer

Job Description

Job Description

Job Title: Senior Data Scientist / ML-NLP Engineer

Location: Addison, TX or Charlotte, NC (onsite 3 days per week; onsite Day 1 required)

Duration: Contract - 12 months

Pay Range:

Addison, TX - $96.92 (Pay Rate: $68.25)

Charlotte, NC - $91.99 (Pay Rate: $64.78)

Job ID: 408836

About BCforward

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description

We are seeking a Senior Data Scientist / ML-NLP Engineer to join our dynamic team supporting the DCRS Inbound Correspondence function. The ideal candidate will have strong experience in machine learning, NLP, Gen AI open-source models, and software engineering and a proven ability to design, build, and maintain document capture applications and enterprise-scale ML/NLP solutions .

Responsibilities:

• Design, develop, and maintain ML/NLP models for document capture and processing.
• Build supervised and unsupervised pipelines including data cleaning, analytics, feature creation, model selection, and ensemble methods.
• Implement performance metrics, model evaluation, and visualization for model monitoring.
• Engineer scalable solutions for large structured and unstructured datasets.
• Collaborate with cross-functional partners to translate business needs into technical solutions.
• Apply Gen AI and open-source models where appropriate to enhance document intelligence.
• Leverage OCR technologies for text extraction and downstream NLP tasks.

Required Skills & Qualifications:

• 7+ years of experience as a Data Scientist or in related roles.
• Bachelor's degree in Computer Science or a related technical field.
• Deep understanding and hands-on exposure to Gen AI open-source models.
• 5+ years of programming experience in software development and Agile processes.
• 5+ years of Python (or equivalent) for building and deploying ML/NLP models.
• Experience setting up supervised and unsupervised ML/NLP models, including data cleaning, analytics, feature engineering, model selection, ensemble methods, and performance visualization.
• Experience with ML/NLP pipelines for large structured and unstructured datasets.
• 2+ years designing and developing enterprise-scale ML/NLP solutions such as NER, document classification, summarization, topic modeling, dialog systems, sentiment analysis, and OCR text processing.
• Knowledge and hands-on experience with OCR products.

Preferred Skills:

• Master's degree in Computer Science, Data Science, or a related field.
• Experience collaborating with partners and stakeholders across multiple lines of business.
• Ability to navigate enterprise data assets across functions.
• Strong organization, prioritization, and communication skills in a fast-paced environment.
• Analytical problem-solving with a client-focused approach.

Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

Additional Details & Notes

• Start: ASAP. Two interview rounds via Teams. Glider ID verification required.
• Mandatory in-office policy. Resource must be onsite Day 1 and adhere to required onsite days.
• Candidates must list current and intended location on resume.
• Submit at the correct rate for the chosen location. Local candidates only at market rate.
• Maximum submissions per supplier: 3.

About Our Commitment

BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Interested? Apply Now!

If this sounds like the right opportunity for you, please apply with your most recent resume.