Senior Data Scientist at Aculocity

Job Description:

• We are looking for a Senior Data Scientist that is eager to learn new skills, can grasp complex concepts and is completely dedicated to the data science craft. We will rely on your in-depth of knowledge in quantitative analytic methods, data management, visualization, and programming skills to uncover valuable business insights.
• In this role, you should be highly analytical with an aptitude for analysis, math, and statistics. The ideal candidate will have experience in building, optimizing, and deploying predictive models at scale, collaborating with cross-functional teams to drive data-driven decision-making.
• As the Senior Data Scientist in our team, you will also play a crucial role in mentoring and leading junior data scientists while actively contributing to the development of innovative solutions.

Responsibilities:

• Act as Team Lead to junior data scientists, providing mentorship and guidance in their professional development.
• Utilize programming languages, such as Python or R, for data analysis, ML model development, and deployment.
• Use statistical, data mining, algorithmic and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights.
• Oversee MLOps processes, leading efforts to deploy models and ensuring existing models are monitored and retrained as needed.
• Collaborate with cross-functional teams to define project objectives, scope, and deliverables.
• Present findings and provide training to stakeholders and create technical documentation of solutions to ensure code quality and reproducibility.
• Stay abreast of the latest advancements in data science and promote the adoption of new tools and techniques within the team.
• Take ownership of projects from conception to completion, ensuring alignment with business goals and timely delivery of high-quality results.
• Demonstrate strong leadership skills to help grow the data science department and foster a culture of innovation and collaboration.
• Contribute to the development of data science (AI/ML) roadmaps and strategies that align with the company's long-term objectives.

Requirements:

• Master’s or PhD degree in a quantitative field, i.e. statistics, economics, mathematics, computer science, or another related field.
• Minimum 5 years of work experience in data science, with a proven track record of delivering successful projects and solving complex problems.
• Strong proficiency in programming languages such as Python or R, with experience in data manipulation, visualization libraries, machine learning and statistical analysis.
• Solid knowledge of ML libraries such as SKLearn, Pandas, TensorFlow, PyTorch and similar.
• Experience in cloud-based computing platforms like Azure or AWS.
• Experience deploying ML models using Docker, Lambda, Kubernetes, and CI/CD pipelines.
• Practical and results-oriented with strong project management and communications skills.
• Curiosity, enthusiasm, positive attitude, a passion to build, and a willingness to seek and learn new concepts.
• Strong leadership skills with the ability to lead and motivate a team. Experience in growing and scaling data science capabilities within an organization.
• Excellent communication and interpersonal skills.
• Experience working in the Automotive or Manufacturing Industry is a plus.