Senior Data Scientist

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer,anddo not discriminatebased onan individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived.

We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD.

We are seeking an experienced and skilled Senior Data Scientist to join our team and assist in leading client-facing project delivery. In this role, you will be responsible for developing and deploying advanced machine learning models and AI solutions that drive business value and enable data-driven decision making for our customers. Additionally, you will play a crucial role in pre-sales activities, project scoping, and educating stakeholders on data science and machine learning concepts.

• Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases.
• Design, develop, and implement complex machine learning models and algorithms to solve real-world business problems.
• Collaborate with cross-functional teams, including data engineers, analysts, and subject matter experts, to understand business requirements and translate them into data science solutions.
• Lead client-facing project teams of AHEAD data science and AI experts.
• Develop and train custom models using frameworks such as Scikit-Learn, TensorFlow or PyTorch.
• Leverage Jupyter-based environments for exploratory data analysis, model development, and deployment.
• Communicate complex technical concepts and findings to stakeholders and leadership in a clear and concise manner.
• Mentor and provide guidance to junior data scientists.
• Participate in pre-sales activities, including project scoping, estimation, and solution design.
• Educate clients and stakeholders on data science and machine learning concepts, methodologies, and best practices.
• Contribute to the development and enhancement of AHEAD's data science service offerings and thought leadership.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning.

• Proficient in Python, with experience in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Matplotlib.
• Experience with developing and training custom models using TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, and AWS Bedrock.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.
• Experience with key generative AI concepts including fine-tuning and retrieval-augmented generation.
• Strong understanding of the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing
• Excellent analytical and problem-solving skills with the ability to work on complex data science challenges.
• Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences.
• Experience in pre-sales activities, including project scoping, estimation, and solution design.

• Experience training and deploying models on DataRobot or Dataiku platforms.
• Domain expertise in specific industries or areas of application (e.g., finance, healthcare, e-commerce).
• Familiarity with data platform architectures, database design, and BI platform such as PowerBI.
• Knowledge of identifying and applying non-predictive or generative methods to business problems, including ad-hoc analysis, linear programming (optimization), or designing and running simulations.
• Wide knowledge of the current state of ML and AI technology and market.
• Experience writing AI and ML blogs and go to market materials.

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

We understand that you have a life outside of work. That’s why we offer paid time off, paid company holidays, and a great benefits program including maternity/paternity leave and much more!