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Your New Company
Our client is a B2B software technology company in the financial services sector with a global presence
Your New Role
You are a passionate Data Scientist, adept at leveraging statistical and machine learning techniques to derive insights and craft business-ready data products. Your expertise lies in collaborating with business stakeholders through your active listening skills to pinpoint business challenges, develop analytical solutions and story tell with gravitas to bring people with you on the journey of change and innovation. You thrive on building and fine-tuning machine learning models, delving deep into data analysis, visualizing findings, and effectively communicating insights to the business.
Responsibilities
· Work with business stakeholders to identify and understand business problems and develop analytical solutions to address them.
· Build and maintain statistical and machine learning products, including NLP, to solve business problems.
· Perform data analysis and visualization to communicate insights to business stakeholders.
· Collaborate with cross-functional teams to develop data-driven solutions.
· Identify and evaluate new data sources to improve modeling and analysis.
· Develop and implement processes for data preparation, model development, and model deployment.
· Stay up-to-date with the latest trends and techniques in data science and machine learning.
· Communicate complex analytical concepts and results to non-technical stakeholders.
· Maintain documentation of analytical work, including code, models, and analysis results.
What You’ll Need to Succeed
· Bachelor’s or higher degree in a quantitative field, such as Computer Science, Statistics, Mathematics, Engineering, Sciences, or Data Science or Certification in Data Science
· 3+ years of experience working as a data scientist or in a related field.
· Strong analytical and problem-solving skills.
· Familiarity with data science frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, etc.
· Strong experience with Python, R, SQL, and other programming languages for data analysis
· Proficient in the data exploration process, with a keen eye for identifying patterns and anomalies.
· Demonstrated expertise in data cleansing and preprocessing to ensure quality and consistency for analysis.
· Experience with machine learning techniques, including time series analysis.
· Strong communication (verbal and written) and collaboration skills.
Bonus Skills and Experience
· Experience working with cloud-based data platforms, such as AWS or Azure.
· Experience with shaping organization governances and processes in building and using ML products
· Experience with deep learning techniques, such as neural networks and convolutional neural networks.
· Experience with data visualization tools, such as Tableau, PowerBI, or matplotlib.
· Experience with experimental design and statistical hypothesis testing.
You’ll Get in Return
The client is offering a full-time engagement, a competitive salary and an opportunity to career growth.
Interested?
If you’re available and interested in this role, please apply directly or send an email to mimi.liu@hays.com as soon as you can attaching your updated resume and salary requirement.
Duration: Permanent – Full time
Salary: $100,000-145,000
Location: Remote
