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Jobright.ai AbsenceSoft is elevating the leave and accommodations experience and is looking to hire a Lead Data Scientist. This role involves leading the design, development, and deployment of AI/ML models for various applications, while collaborating with data engineers and product leaders to solve real-world problems at scale. Responsibilities: Lead the end-to-end lifecycle of ML models: scoping, data preparation, training, validation, deployment, and monitoring. Design traditional supervised and unsupervised learning models as well as deep learning models for NLP, vision, and audio tasks. Build, fine-tune, and evaluate large language models (LLMs), including MOE (Mixture of Experts), SLMs (Small Language Models), and other foundational architectures. Engineer LLMs using transformer-based architectures, with expertise in tokenization, embedding layers, encoders, multi-head attention, and positional encoding. Apply advanced techniques such as reinforcement learning with human feedback (RLHF), deep Q-learning, and parameter-efficient fine-tuning (PEFT). Collaborate with software engineers and AI product managers to operationalize models in scalable, production-grade environments. Conduct exploratory data analysis and experimentation to uncover insights that drive product and business decisions. Own the model evaluation framework and define metrics for performance, fairness, explainability, and robustness. Apply Responsible AI principles to ensure models are ethically developed and comply with global regulations (e.g., GDPR, HIPAA, AI Act). Partner with stakeholders to build AI features that serve compliance, leave, accommodations, and workforce intelligence domains. Lead the scientific and strategic direction for the modeling roadmap and mentor junior data scientists as the team scales. Participate in a highly compliant environment while assisting to maintain company controls and security within your job role. Assist in maintaining applicable organizational security and compliance controls within your department, role, and subordinates roles. Other duties as assigned. Qualifications: Required: 7+ years experience in data science, with a proven track record delivering enterprise-grade ML models. Extensive experience with transformer architectures and building LLMs from the ground up. Proficiency in tokenizers, embedding techniques, self-attention mechanisms, encoder-decoder models, and multi-head attention. Hands-on experience with reinforcement learning, deep Q-learning, RLHF, and PEFT approaches. Expert in Python and ML/DS libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch). Experience developing models for NLP, computer vision, and/or audio using deep learning frameworks. Strong understanding of statistical modeling, experimental design, and model interpretability techniques. Experience collaborating with MLOps engineers to productionize models, monitor drift, and manage model lifecycle. Hands-on experience with large-scale data environments, feature engineering, and pipeline tooling (e.g., dbt, Airflow, Snowflake). Excellent communication skills with ability to convey technical findings to non-technical stakeholders. Working knowledge of global AI and data regulations and how they affect model development and deployment. Preferred: Experiment Tracking: Weights & Biases, Comet Data Workflow Tools: dbt, Airflow, Snowflake, Prefect Semantic Search/Vector DBs: FAISS, Pinecone, Weaviate, txtai Company: AbsenceSoft provides leave and accommodation management SaaS solutions. Founded in 2013, the company is headquartered in Golden, Colorado, USA, with a team of 51-200 employees. The company is currently Growth Stage. Seniority level
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Lead Data Scientist (Remote)
role at
Jobright.ai 3 days ago Be among the first 25 applicants Join to apply for the
Lead Data Scientist (Remote)
role at
Jobright.ai AbsenceSoft is elevating the leave and accommodations experience and is looking to hire a Lead Data Scientist. This role involves leading the design, development, and deployment of AI/ML models for various applications, while collaborating with data engineers and product leaders to solve real-world problems at scale. Responsibilities: Lead the end-to-end lifecycle of ML models: scoping, data preparation, training, validation, deployment, and monitoring. Design traditional supervised and unsupervised learning models as well as deep learning models for NLP, vision, and audio tasks. Build, fine-tune, and evaluate large language models (LLMs), including MOE (Mixture of Experts), SLMs (Small Language Models), and other foundational architectures. Engineer LLMs using transformer-based architectures, with expertise in tokenization, embedding layers, encoders, multi-head attention, and positional encoding. Apply advanced techniques such as reinforcement learning with human feedback (RLHF), deep Q-learning, and parameter-efficient fine-tuning (PEFT). Collaborate with software engineers and AI product managers to operationalize models in scalable, production-grade environments. Conduct exploratory data analysis and experimentation to uncover insights that drive product and business decisions. Own the model evaluation framework and define metrics for performance, fairness, explainability, and robustness. Apply Responsible AI principles to ensure models are ethically developed and comply with global regulations (e.g., GDPR, HIPAA, AI Act). Partner with stakeholders to build AI features that serve compliance, leave, accommodations, and workforce intelligence domains. Lead the scientific and strategic direction for the modeling roadmap and mentor junior data scientists as the team scales. Participate in a highly compliant environment while assisting to maintain company controls and security within your job role. Assist in maintaining applicable organizational security and compliance controls within your department, role, and subordinates roles. Other duties as assigned. Qualifications: Required: 7+ years experience in data science, with a proven track record delivering enterprise-grade ML models. Extensive experience with transformer architectures and building LLMs from the ground up. Proficiency in tokenizers, embedding techniques, self-attention mechanisms, encoder-decoder models, and multi-head attention. Hands-on experience with reinforcement learning, deep Q-learning, RLHF, and PEFT approaches. Expert in Python and ML/DS libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch). Experience developing models for NLP, computer vision, and/or audio using deep learning frameworks. Strong understanding of statistical modeling, experimental design, and model interpretability techniques. Experience collaborating with MLOps engineers to productionize models, monitor drift, and manage model lifecycle. Hands-on experience with large-scale data environments, feature engineering, and pipeline tooling (e.g., dbt, Airflow, Snowflake). Excellent communication skills with ability to convey technical findings to non-technical stakeholders. Working knowledge of global AI and data regulations and how they affect model development and deployment. Preferred: Experiment Tracking: Weights & Biases, Comet Data Workflow Tools: dbt, Airflow, Snowflake, Prefect Semantic Search/Vector DBs: FAISS, Pinecone, Weaviate, txtai Company: AbsenceSoft provides leave and accommodation management SaaS solutions. Founded in 2013, the company is headquartered in Golden, Colorado, USA, with a team of 51-200 employees. The company is currently Growth Stage. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
Denver, CO . Denver, CO $150,000.00-$175,000.00 3 weeks ago Boulder, CO $150,000.00-$190,000.00 3 days ago Denver, CO $125,000.00-$146,000.00 2 weeks ago Applied AI Engineer & Researcher - Denver, USA
Denver, CO $140,000.00-$200,000.00 2 days ago EverHealth - Software Engineer (Python/React) (Remote, US/Canada)
Denver, CO $130,000.00-$145,000.00 2 days ago Denver, CO $198,000.00-$230,000.00 2 weeks ago Denver, CO $150,000.00-$186,000.00 3 days ago AI Engineer & Researcher, Inference - Denver, USA
Denver, CO $140,000.00-$200,000.00 2 days ago Machine Learning Engineer - Reinforcement Learning & Adaptive Systems
United States $190,000.00-$210,000.00 5 days ago Denver Metropolitan Area $188,000.00-$219,000.00 3 days ago Denver Metropolitan Area $208,000.00-$246,000.00 3 days ago United States $180,000.00-$210,000.00 5 days ago United States $180,000.00-$210,000.00 5 days ago Denver, CO $150,000.00-$180,000.00 1 month ago Denver, CO $85,000.00-$105,000.00 6 months ago Cloud Platform and Data Engineer - U.S. Citizenship Required
Denver Metropolitan Area $130,000.00-$150,000.00 5 days ago Denver, CO $180,000.00-$220,000.00 2 months ago Software Engineer, AI Studio - Denver, USA
Denver, CO $140,000.00-$200,000.00 2 days ago Boulder County, CO $80,000.00-$95,000.00 1 week ago Englewood, CO $140,000.00-$170,000.00 5 days ago Denver, CO $80,000.00-$105,000.00 8 months ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr