Lead data scientist, data

1 month ago

Singapore NCS Pte. Ltd. Full time

Role Summary: The ideal candidate will be responsible for driving data-driven initiatives, managing a team of data scientists, and collaborating closely with cross-functional teams to deliver innovative data solutions for clients. Key Responsibilities: Lead and mentor a team of data scientists, analysts, and machine learning engineers. Define and execute data science strategy aligned with business objectives and client needs. Identify and prioritize data science initiatives to drive business impact and innovation. Develop and implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems. Work with large datasets, and perform data wrangling, cleaning, and feature engineering to build accurate models. Apply deep learning techniques, natural language processing (NLP), computer vision, or other advanced techniques as required by project needs. Partner with internal teams (software developers, data engineers, business analysts) and external clients to understand requirements and deliver tailored data solutions. Present insights, analytics, and models to stakeholders and clients in a clear and actionable manner. Work with the sales and business development teams to identify opportunities for data science-led solutions for clients. Oversee the design and implementation of data pipelines, ETL processes, and cloud-based data solutions. Collaborate with IT and engineering teams to ensure integration of data science models into production systems. Stay updated on emerging technologies, tools, and trends in the field of data science and machine learning. Promote a culture of continuous learning, experimentation, and improvement within the team. Evaluate new tools, platforms, and techniques to enhance the team’s capabilities and effectiveness. Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science, with a strong background in statistical modeling, machine learning, and advanced analytics. 3+ years in a leadership or management role, preferably in an IT or Systems Integration environment. Proven experience in building and deploying data science solutions in real-world applications. Expertise in programming languages such as Python and SQL. Experience with data processing frameworks such as Hadoop, Spark, or similar. Hands-on experience with machine learning frameworks and libraries (e.g., Tensor Flow, Keras, Scikit-learn). Proficiency in using visualization tools (e.g., Tableau, Power BI, matplotlib) to communicate findings. Strong problem-solving skills and ability to work in fast-paced environments. Excellent communication and presentation skills, with the ability to translate complex data into actionable insights. Collaborative team player with a passion for mentoring and guiding junior talent. Singaporean only #J-18808-Ljbffr

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