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Data Scientist

2 months ago

London, Greater London, United Kingdom US Tech Solutions Full time

Data Scientist - Machine Learning Expert

**Job Summary**

We are seeking a highly skilled Data Scientist - Machine Learning Expert to join our team at US Tech Solutions. As a Data Scientist - Machine Learning Expert, you will be responsible for applying your knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype development and product improvement.

**Key Responsibilities**

* Design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
* Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation
* Provide Business Intelligence (BI) and data visualization support, which includes support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support
* Collaborate with cross-functional teams to drive business outcomes through data-driven insights

**Requirements**

* Experience in programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau
* Strong analytical and problem-solving skills, with the ability to communicate complex information effectively in writing
* Ability to work in a fast-paced environment and prioritize multiple tasks and projects

**About US Tech Solutions**

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. We are committed to providing our clients with the best talent in the industry, and we are seeking a highly skilled Data Scientist - Machine Learning Expert to join our team.

**Equal Employment Opportunity**

US Tech Solutions is an equal employment opportunity employer and welcomes applications from all qualified candidates. We are committed to diversity and inclusion in the workplace and are an affirmative action employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.