Join AHEAD as a Senior Data Scientist

AHEAD builds platforms for digital business, seamlessly integrating advances in cloud infrastructure, automation, analytics, and software delivery to help enterprises realize their digital transformation goals. We are committed to fostering a culture of belonging where every perspective and voice is valued and respected.

About AHEAD

At AHEAD, we prioritize creating spaces where everyone feels empowered to speak up, drive change, and contribute to our culture. We are an equal opportunity employer who embraces diversity and does not discriminate based on race, national origin, color, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law. We aim to enrich our team with diverse ideas and perspectives.

Job Title: Senior Data Scientist

We are seeking an experienced and skilled Senior Data Scientist to join our dynamic team. In this role, you will be responsible for developing and deploying advanced machine learning models and AI solutions that drive business value and facilitate data-driven decision-making for our clients. Additionally, you will play a crucial role in pre-sales activities, project scoping, and stakeholder education on data science and machine learning concepts.

Key Responsibilities

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

Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in a data science-related role focused on machine learning and deep learning.
• Proficiency in Python and experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Matplotlib.
• 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.
• Familiarity with key generative AI concepts, including fine-tuning and retrieval-augmented generation.
• Knowledgeable about the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Experience in pre-sales activities, including project scoping and solution design.

Preferred Qualifications

• Experience with DataRobot or Dataiku platforms.
• Domain expertise in industries such as finance, healthcare, or e-commerce.
• Familiarity with data platform architectures, database design, and BI platforms such as PowerBI.
• Knowledge of applying non-predictive or generative methods to business problems.
• Wide knowledge of current ML and AI technology and market trends.
• Experience writing AI and ML blogs and go-to-market materials.

Why Work at AHEAD

At AHEAD, we value diversity in thoughts, ideas, and experiences. Through initiatives like Moving Women AHEAD and RISE AHEAD, we promote a culture of inclusion. We provide top-notch technologies, cross-department training, continued learning, and a supportive work-life balance with perks such as paid time off and a comprehensive benefits program.