Deel - Data Scientist
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Requirements
• High proficiency in Python and its data science stack. • Background and experience in data/backend engineering, ideally in production environments (3+ years) (Mid/Senior Level role) • Background and hands-on experience (2+ years) in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learning • Experience with developing AI solutions across a variety of domains • Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds and professions • A Bachelor’s degree or higher • Must have hands on experience working with SQL • Must have hands on experience working with Python (Preferably with Pandas) • Must be strong at applying statistical methods to data • Must be strong with data pipelining • Must be an independent thinker and have the ability to work independently to solve problems
Responsibilities
• Solve real world problems using Data Science and statistical techniques • Implement functionality which can be served in production for internal customers as well as external customers • Designing, building and maintaining data sets • Data cleaning & modelling • Feature engineering • Feature extraction • Building end-to-end data & machine learning pipelines • Conduct reproducible research • Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions • Produce high quality, clean, maintainable reproducible research and code
Benefits
• Deel is a fast-growing company with a developing Data Science team, which gives the opportunity to contribute to our practices, direction, and tooling selection • The nature of the role will be mostly project focused, so a lot of opportunity to dive deep into a single problem and solve it properly • This role in particular aims to develop data insights from a large salary grouping. There’s scope to define how the data pipelines will work, and what statistical techniques and ML approaches to use • Over 90% of the team’s work makes it to production which is rare for Data science/AI teams, we aim to deliver value each quarter • Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. • Some things you’ll enjoy • Stock grant opportunities dependent on your role, employment status and location • Additional perks and benefits based on your employment status and country • The flexibility of remote work, including optional WeWork access • At Deel, we’re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics. • Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visiting our careers page.Deel is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives. • Deel will provide accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodations, please inform our Talent Acquisition Team via this link and a team member will be in touch to ensure your equal participation. If you have difficulty accessing the form, please email at [email protected]. • As part of our hiring process, we primarily rely on interviews and role-related assessments. In limited cases, we may also consider informal background information relevant to the role, in line with our privacy and fairness obligations.
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