Cradlepoint is seeking a Senior Data Scientist to contribute to our efforts in artificial intelligence (AI) and automation technologies, aligning with our overall data strategy and business objectives. You will play a key leadership role in transforming raw data into actionable insights that drive business value. You will collaborate closely with cross-functional teams across the organization to identify key business challenges, design and implement innovative data-driven solutions, and effectively communicate your findings to both technical and non-technical audiences.
What You Will Do: Key Responsibilities
- Partner with business stakeholders to understand their needs, translate them into technical requirements, and develop data-driven solutions.
- Communicate complex AI concepts to non-AI stakeholders (Data Domains, Enablers, etc.) and facilitate multi-functional collaboration.
- Establish and enforce data governance policies and procedures to ensure the ethical and responsible use of data in AI applications.
- Implement Objective Key Results to measure the performance and impact of AI and automation solutions and regularly report on the progress and success of AI initiatives to the Head of Data & AI.
- Lead and manage complex data science projects from inception to deployment, ensuring successful delivery and impact on business objectives.
- Develop, implement, and optimize machine learning models and algorithms to solve real-world business problems.
- Perform data cleaning, wrangling, and transformation to ensure data quality and prepare it for analysis.
- Conduct exploratory data analysis (EDA) to uncover hidden patterns, trends, and insights within data sets.
- Develop clear and concise data visualizations to effectively communicate complex findings to both technical and non-technical audiences.
- Stay up to date on the latest advancements in data science methodologies and tools, and actively seek opportunities to incorporate them into our practices.
- Mentor and guide junior data scientists within the team, fostering a collaborative and learning environment.
The Skills You Bring: Required Qualifications
- Education: PhD in Statistics, Computer Science, Mathematics, or a related field; alternatively, a Master's or Bachelor's degree with significant work experience in the field.
- Experience: Proven track record of successfully leading and delivering data science projects with tangible business impact.
- AI/ML Expertise: Strong expertise in LLM (Large Language Models), deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning), and statistical modeling.
- Programming & Big Data: Proficiency in programming languages such as Python, R, and familiarity with big data processing tools (e.g., Spark, Hadoop) is a plus.
- Cloud AI Solutions: Familiarity in developing and deploying End-to-End (E2E) AI solutions in cloud platforms (Azure, AWS, GCP).
- Communication & Collaboration: Excellent communication and collaboration skills, with the ability to effectively translate complex technical concepts to a non-technical audience.
- Problem-Solving: Strong problem-solving skills and a passion for applying data science techniques to solve real-world problems.
- Work Management: Ability to work independently and manage multiple projects simultaneously while meeting deadlines.
