About Us

We imagine the new. Inspire the next. And use the power of our creativity to help build up those around us.

At Allison, we provide a limitless environment where you can build, create, and grow. Our openly collaborative and highly supportive culture is free from bureaucracy and red tape. With over 1,000 innovators from diverse backgrounds, we break new ground for world-class clients across 50 global markets and dozens of industries. We believe in creating a space where everyone can freely express their opinions, share their ideas and dreams for the future, and be themselves.

We foster an inclusive culture that attracts builders from all backgrounds who can envision new solutions and create outcomes that move our clients' businesses forward, while helping everyone on the team learn and grow together. Our shared ideal of the builder's mindset is limitless and available to everyone, and we push the boundaries to create new and innovative solutions for our clients and ourselves.

We create lasting impact and relationships, and our culture fosters meaningful connections and friendships that last beyond the workplace. If you're ready to join a team that pushes you to be your best, supports you every step of the way, and celebrates your successes, welcome to Allison.

Overview

About the Job

We are seeking a talented Data Scientist with expertise in Natural Language Processing and Large Language Models to join our growing consulting practice. You'll work alongside senior team members to deliver AI solutions for Fortune 500 clients across diverse industries, gaining exposure to cutting-edge applications and business challenges.

Ideal Candidate Profile

You are eager to apply your analytical skills to real-world business problems and grow your expertise in NLP and consulting. You're comfortable learning new techniques quickly, working collaboratively with senior team members, and communicating technical concepts to diverse audiences. You have a growth mindset, attention to detail, and enthusiasm for helping clients solve complex challenges with AI. While you may be earlier in your career, you demonstrate strong technical fundamentals and the potential to develop into a senior contributor.

Responsibilities

Support client engagements by developing NLP solutions under senior guidance Implement and fine-tune language models for various business applications Conduct data analysis and build predictive models using text data Participate in client workshops and contribute to technical presentations Develop automated text processing pipelines and content analysis systems Collaborate with senior data scientists on algorithm development and optimization Document methodologies and create reusable code frameworks Assist in scoping and planning NLP projects across retail, finance, healthcare, and media sectors Support quality assurance and testing of deployed models Stay current with latest NLP research and emerging techniques

Technical Environment

Languages: Python (primary), R, SQL ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Infrastructure: Docker, cloud platforms (AWS/GCP/Azure) Tools: MLflow, Git, Jupyter, Apache Airflow, Vector databases

Required

Qualifications

MA/MS in Computer Science, Statistics, Mathematics, Economics, Econometrics, Linguistics, or related quantitative field Minimum 2 years of professional experience in data science, analytics, or related roles Solid NLP foundation: Understanding of text preprocessing, feature extraction, and basic NLP techniques Language Model experience: Some hands-on experience with pre-trained models and basic fine-tuning Programming skills: Proficient in Python with experience in pandas, scikit-learn, and at least one deep learning framework Statistical knowledge: Understanding of statistical methods and experimental design Experience with foundation models (GPT, BERT, etc.) through coursework or projects Basic knowledge of MLOps concepts and version control Strong analytical thinking and problem-solving abilities

Preferred

Experience with client-facing or consulting work Academic or professional projects involving text analysis or NLP Familiarity with cloud platforms and deployment practices Knowledge of specialized domains (finance, healthcare, legal, etc.) Open-source contributions or personal NLP projects

Benefits

Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks Comprehensive 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 employment Exceptional parental leave benefits Global mentorship and networking programs Monthly cell phone reimbursement 401k savings and employee stock purchase plan Volunteer hours (20 hours annually) for designated non-profit partner and personal choice Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee) Career growth opportunities, such as Allison University (multi-day customized trainings for each level)

Equal Opportunities

Our 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 $135k-$205k. 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.

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