Company Overview :

Ace Recruit is a leading talent acquisition firm specializing in connecting top-tier professionals with high-growth organizations across various industries.

We partner with innovative companies in the technology, finance, and consulting sectors, providing tailored recruitment solutions to meet their unique hiring needs.

Our deep industry expertise and extensive network enable us to identify and attract exceptional candidates who drive business success.

Role Overview :

As a Data Science Lead, you will spearhead the development and implementation of advanced analytical solutions to address complex business challenges.

You will collaborate closely with cross-functional teams, including product managers, engineers, and business stakeholders, to identify opportunities for leveraging data to improve decision-making and drive innovation.

This role offers the opportunity to make a significant impact on our clients' business outcomes by translating data insights into actionable strategies.

Key Responsibilities :

- Lead the design, development, and deployment of machine learning models and statistical analyses to solve business problems.

- Guide a team of data scientists in the application of advanced analytical techniques, ensuring high-quality deliverables.

- Collaborate with stakeholders to understand business requirements and translate them into data science projects.

- Communicate complex data insights and recommendations to both technical and non-technical audiences.

- Stay abreast of the latest advancements in data science and machine learning, and evaluate their potential application to our business.

- Contribute to the development of data science best practices and standards within the organization.

- Mentor junior data scientists and provide technical guidance on projects.

Required Skillset :

- Demonstrated expertise in developing and deploying machine learning models using Python and related libraries (e.g., scikit-learn, TensorFlow, PyTorch).

- Proven ability to apply statistical modeling techniques to solve real-world business problems.

- Strong understanding of data modeling principles and experience working with large datasets.

- Experience with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (e.g., AWS, Azure, GCP).

- Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to diverse audiences.

- Solid understanding of NLP techniques and their application to text analytics.

- A Master's or PhD degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.

- Ability to thrive in a fast-paced, collaborative environment and adapt to changing priorities.