Contract Data Scientist - ML Engineer

October 15

Apply Now
Logo of YLD

YLD

Digital Transformation • Consulting • Training • Pair Programming • DevOps

51 - 200

Description

• As a Data Scientist, you will take responsibility for data, insights, and models that help our clients grow quickly. • You’ll have Machine Learning Engineering experience and use this to build data capabilities that integrate well with software products. • You'll work closely with the clients' cross-functional innovation team to build new and novel products that serve the Broadcast Media industry. • Collaborate with stakeholders to identify and understand business problems and define data-driven solutions; • Lead end-to-end data science projects, from problem formulation and data exploration to model development, validation, and deployment; • Apply advanced statistical modelling and machine learning techniques to derive actionable insights and drive strategic decision-making; • Develop and implement predictive and prescriptive models to solve complex business challenges; • Collaborate with software and data engineers to integrate data from multiple sources and ensure data quality and integrity; • Communicate complex analytical concepts and insights to technical and non-technical stakeholders in a clear and compelling manner; • Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies, and proactively identify opportunities to apply them to business problems.

Requirements

• Proven experience as a Data Scientist, with a strong focus on developing and deploying machine learning models in a production environment. • Expertise in programming languages such as Python, with proficiency in data manipulation, analysis, and model development libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch). • Proven experience with machine learning algorithms, such as supervised and unsupervised learning techniques, time series analysis, and natural language processing. • Strong statistical modelling skills and familiarity with statistical analysis tools. • Proficiency in SQL and working with relational databases. • Solid understanding of data engineering concepts, data preprocessing, and feature engineering techniques. • Strong problem-solving and analytical skills, with the ability to think creatively and develop innovative solutions. • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. • Strong project management skills, with the ability to prioritise tasks and meet deadlines.

Benefits

• The chance to work with a forward-thinking, ethical, and fun group of people and to develop and grow your skills in a fast-moving business

Apply Now
Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or lior@remoterocketship.com