Senior Data Scientist - NLP/LLM Specialist at Scismic

Employer: Scismic

Expires: 03/04/2026

To Apply:  We want to let you know up front that we use Scismic to help us pre-screen and qualify candidates.  To apply, we are asking you to complete a profile on Scismic.com to help us determine your fit for this role.  Start that process here.Company Overview: We are a global consulting company that fosters a highly collaborative and inclusive culture, encouraging creativity, growth, and innovation. With a team of over 1,000 professionals across 50 global markets, we partners with world-class clients to solve complex business challenges across diverse industries. Our company values a “builder’s mindset,” empowering employees to create new solutions, develop lasting impact, and grow their careers in a supportive environment.The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join the  consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries.Ideal Candidate ProfileYou combine academic rigor with practical engineering skills and exceptional client communication abilities. You will work end-to-end from project initiation through client delivery, comfortable both building sophisticated algorithms and presenting findings directly to clients. You excel at automating repetitive tasks and developing reusable frameworks that scale across multiple engagements. You should be comfortable implementing cutting-edge research while translating complex technical concepts into actionable business strategies. Strong presentation skills and the ability to build trust with senior executives are essential.ResponsibilitiesLead client workshops and discovery sessions to identify NLP opportunitiesDevelop and present technical proposals to C-level executivesManage multiple client projects simultaneously while maintaining quality and timelinesDesign and implement novel NLP solutions for complex business problemsArchitect scalable solutions for processing and analyzing large text corporaBuild custom language models tailored to each client's unique industry challengesAutomate repetitive analytical tasks and develop reusable algorithmic frameworksMentor junior data scientists and provide technical guidance on NLP projectsDevelop automated content analysis, document processing, and customer insight systemsCreate scalable text analytics platforms that drive measurable business outcomesWork across retail, finance, healthcare, and media sectorsTranslate complex AI capabilities into clear business value propositionsTechnical EnvironmentLanguages: Python (primary), R, SQL, potentially C++ for optimizationML Frameworks: PyTorch, TensorFlow, Hugging Face TransformersInfrastructure: Kubernetes, Docker, cloud platforms (AWS/GCP/Azure)Tools: MLflow, Weights & Biases, Apache Airflow, Spark, Vector databasesWhat Will Make You SuccessfulPhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative fieldMinimum 5 years of professional experience in data science, machine learning, or related rolesAdvanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniquesLarge Language Model proficiency: Hands-on experience with LLM fine-tuning, prompt engineering, RLHF, and deployment at scaleProgramming mastery: Expert-level Python, with strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystemMLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environmentsExperience writing production code and ensuring well-managed software deliveryExperience with foundation models (GPT, BERT, T5, LLaMA, etc.)Knowledge of retrieval-augmented generation (RAG) systemsUnderstanding of model compression techniques (quantization, distillation, pruning)Experience with evaluation metrics and benchmarking for language modelsPreferredExperience in consulting or client-facing technical rolesKnowledge of specialized domains (healthcare NLP, legal AI, financial text analysis)Cloud platform expertise (AWS SageMaker, Google Cloud AI, Azure ML)Open-source contributions to major ML/NLP librariesBenefitsHybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeksComprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance)Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays)Four-week sabbatical every five consecutive years of employmentExceptional parental leave benefitsGlobal mentorship and networking programsMonthly cell phone reimbursement401k savings and employee stock purchase planVolunteer hours (20 hours annually) for designated non-profit partner and personal choiceGlobally driven inclusive initiatives (Employee Advocacy Groups, equity committee)Career growth opportunities (multi-day customized trainings for each level)Equal OpportunitiesOur mission is to create a positive and entrepreneurial environment where talented people thrive on creativity. We celebrate inclusivity and are committed to providing an inclusive environment for our employees. We do not tolerate discrimination or harassment of any kind and are committed to building an agency where everyone is welcome, and every voice is heard. We are proud to be an equal opportunity employer.In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in all locations within the United States for this role is $155k-$240k. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.In addition to medical, dental and vision coverage, we offer a generous unlimited PTO plan, 401k program and comprehensive benefits plan. Additional perks and benefits include a month-long sabbatical, active employee advocacy groups, globally driven inclusivity initiatives, wellness days, summer Fridays and learning and development programs for our employees.