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Technical Lead: Data Science
2 weeks ago
What You'll Do:
- Provide strategic vision and technical leadership for the Data Science and Software Engineering team.
- Define the data science roadmap, aligning it with business objectives and project priorities.
- Design, develop, and implement data-driven solutions for industrial client applications.
- Architect and oversee the creation and optimization of data pipelines including data ingestion, processing, analysis, and feature engineering.
- Select, implement, and evaluate appropriate data science techniques and statistical models for various tasks.
- Lead code reviews, establish data science best practices, and ensure high-quality code delivery.
- Mentor and guide junior data scientists and software engineers.
- Collaborate with project managers and stakeholders to define and achieve project goals.
- Oversee DevOps tasks including model deployment strategies (cloud and on-premises).
- Stay up-to-date with the latest advancements in AI and guide the team in acquiring new skills.
- Degree (or equivalent experience) in Statistics, Data Science, or a related field.
- Lead code reviews, establish coding best practices, and ensure high-quality code delivery.
- Mentor and guide junior machine learning and software engineers.
- Collaborate with project managers and stakeholders to define and meet project goals.
- 5+ years of experience leading and delivering data science projects in production.
- Proven track record of building and deploying impactful data-driven solutions.
- Strong analytical and problem-solving skills with a deep understanding of statistical methods.
- Extensive experience with Python and data science libraries (Scikit-learn, pandas, NumPy).
- Familiarity with cloud platforms like AWS or Azure and deployment strategies (both cloud and on-premises).
- Solid experience in DevOps practices for data pipelines.
- Excellent communication and collaboration skills with the ability to lead and motivate a team.
- Passion for data-driven decision making and a drive to solve complex business problems.
- Proven ability to mentor and guide junior engineers.
- Understanding of manufacturing processes (a plus).
- Experience with industrial automation systems and PLCs.
- Familiarity with Agile methodologies and project management tools (Jira, Confluence).
At Bridge Automation, you'll be joining a team of passionate individuals who are dedicated to leveraging AI to improve industrial processes. We offer a competitive compensation package, a collaborative work environment, and the opportunity to make a real impact on our clients' businesses.
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