Data Scientist
This full-time Software Engineer / Data Scientist role at Confidential Client requires strong Python development skills and a solid understanding of data fundamentals such as SQL, data structures, and REST APIs. The position involves working on client-facing projects with opportunities to expand expertise in AI and machine learning, ideally suited for candidates with 1-4 years of professional software development experience.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology Consulting (IT services & consulting).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
This is a hands-on Data Scientist role supporting a confidential client in the technology consulting space. You'll work with cross-functional teams to turn data into insight and production-ready models that inform client decisions.
- Partner with business stakeholders and consultants to define analytics questions and success metrics
- Explore, clean and transform structured and unstructured datasets to uncover patterns and opportunities
- Build, validate and deploy statistical models and machine learning solutions to solve business problems
- Translate model outputs into clear recommendations, visualizations and reports for technical and non-technical audiences
- Support productionization efforts: collaborate with engineers on model integration, monitoring and retraining strategies
- Maintain documentation and follow reproducible workflows for experiments and model artifacts
What We’re Looking For
We seek candidates who combine analytical rigor with practical software and communication skills. Listed items reflect common expectations for this type of role.
- Strong analytical problem-solving and experience applying statistical or machine learning methods to real-world data
- Experience working with data pipelines and performing data wrangling at scale
- Ability to translate analytic outcomes into business impact and clear stakeholder-facing communication
- Comfortable collaborating across distributed teams (data engineers, product owners, consultants)
Preferred Qualifications (Nice to Have)
These are helpful but not strictly required.
- Experience with model deployment and monitoring in cloud environments
- Familiarity with data visualization tools and best practices for executive-level reporting
- Consulting experience or experience working directly with external clients
What We Offer
Careertakes supports the hiring process as a third-party recruiter. If hired, our client typically provides a competitive compensation package and professional development opportunities. Exact benefits, pay and employment type will be shared by the client during the interview process.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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