
Chief Analytics Officer
15 hours ago
The Role of a Data Science Director
Job Description:We are seeking an experienced and visionary leader to spearhead our data science endeavors. As the Director of Data Science, you will be responsible for driving the development and implementation of innovative data-driven solutions that meet our clients' evolving needs.
Key Responsibilities:- Develop and execute a comprehensive strategy for building software applications in the data and analytics field, ensuring alignment with business objectives and industry trends.
- Foster a collaborative environment that encourages innovation, creativity, and knowledge-sharing among team members.
- Oversee the design and delivery of models, guaranteeing timely completion and adherence to quality standards.
- Engage in consultative selling with clients to grow and deliver business, leveraging your expertise in data science and analytics.
- Design and implement scalable processes to deliver on large and complex client engagements, leveraging cloud solutions and MLOps pipelines.
- Demonstrate expertise in programming languages such as Python, Go, Ruby, or Bash, as well as a good understanding of Linux and frameworks like scikit-learn, Keras, PyTorch, and TensorFlow.
- Possess a deep understanding of advanced AI/ML algorithms and their applications, including experience with self-service analytics platforms like Dataiku, KNIME, or Alteryx.
As a Data Science Director, you will have the opportunity to work with a talented team of data scientists and analysts, contribute to the growth and success of our organization, and develop your skills in a dynamic and challenging environment.
Requirements:- Minimum 12+ years of relevant experience in building software applications in the data and analytics field.
- Proven track record of developing and executing successful data science strategies.
- Strong leadership and collaboration skills, with the ability to foster a culture of innovation and excellence.
- Excellent communication and interpersonal skills, with the ability to engage with clients, stakeholders, and team members at all levels.
- Experience with cloud solutions, MLOps pipelines, and self-service analytics platforms is highly desirable.
Familiarity with life sciences is a plus, but not required. We offer a competitive compensation package, opportunities for professional growth and development, and a dynamic work environment that values teamwork, innovation, and customer satisfaction.
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