Apex is seeking a dynamic Lead Consultant with strong consultative skills to serve as a Lead Data Scientist. The role is hands-on and intensely focused on developing advanced machine learning and deep learning models for real-world initiatives. As a Data Scientist, you will be at the forefront of research and development, focusing on the design, implementation, and fine-tuning of ML/DL models. Role / Title: Lead Data Scientist Location: 100% remote Duration : Fulltime Pay : Highly competitive & negotiable Lead Consultant (Data Scientist with Machine Learning) Responsibilities: Leading the exploration and application of Machine Learning and Deep Learning models to drive business insights and support data-driven decision making across projects. Demonstrate fluency in Python and ability to utilize, optimize, and alter off the shelf libraries and code. Implement and deploy ML models using TensorFlow, Keras, Caffe, MXNet, PyTorch and other frameworks with a focus on developing complex programs, custom algorithms, and optimized model performance. Develop and deploy a variety of ML models including but not limited to recommendation, anomaly detection, forecasting, personalization predictive models and other statistical methods. Perform experiments and comparative analysis to evaluate the effectiveness of different model architectures and fine-tune hyperparameters for optimal performance Design and implement fine-tuning approaches and training models. Lead feature engineering efforts, including data preprocessing, aggregation, and transformation for structured, unstructured, and semi-structured data to enhance model accuracy and performance. Collaborate with cross-functional teams to identify business problems and design end-to-end data science solutions. Mentor and guide junior data scientists, fostering best practices in model development, deployment, and optimization. Promote data science and machine learning ethics, ensuring models are developed and deployed with fairness and mitigating bias and adhering to privacy regulations and ethical standards. Manage and oversee projects, ensuring timely delivery and adherence to budget and quality standards. Demonstrate strong technical knowledge and implementation skills. Stay current on relevant technology trends and practices. Build trust and respect among internal and external stakeholders and demonstrate collaborative teamwork. Produce high quality deliverables, meet project deadlines, and take responsibility for engagement success. Demonstrate a passion for quality and process improvement. Demonstrate professional level consulting skills and communication/presentation skills. Continually innovate, seek creative solutions, and find new ways of adding value. Listen and seek to understand the client and meet their needs, providing consultative guidance. Stay attuned to the future needs of the client and work with internal resources to identify opportunities. Proactively provide solutions and approach adversity with a solution-focused mindset. Perform assessments of clients' environments and design robust solutions and roadmaps. Requirements: Masters or PHD in machine learning or alternatively a comparable industry career, with significant modeling experience on delivering products. 8 years of experience writing and deploying production quality models in languages such as Python. 8 years of statistical predictive analytics experience, including industry-specific predictive modeling. 5 years of hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar. Experience in a variety of machine learning models such as recommendation, anomaly detection, forecasting, personalization predictive models and other statistical methods. Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models. Demonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions Hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar Outstanding communication skills, both written and verbal, to effectively collaborate with internal teams and present solutions to clients Demonstrated ability to work in a client-facing capacity, understanding their needs and translating them into technical solutions Stay current with the latest developments in AI, machine learning, and data science, and actively contribute to the advancement of our technology stack and capabilities Experience with Python scripts to drive data science workflows, have experience using SQL, and managing and merging of disparate data sources statistical analysis; and data mining algorithms. In-depth experience in Natural Language Processing (NLP), with a particular emphasis on Large Language Models (LLMs) and Transformer architectures. Familiarity with MLOps processes and best practices for deployment. Desirables: Having participated in Kaggle or other DL competitions Relentlessly staying on top of the state of the art AI/ML papers Having had to deploy a model with aggressive inference speed requirements Experience in Amazon SageMaker, Databricks or similar tools to build, train and deploy machine learning models.
