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- Tasks: Join us as a Senior Data Scientist to develop and deploy innovative machine learning models.
- Company: Palta is a thriving tech platform with over 60 million users, focused on health and well-being.
- Benefits: Enjoy competitive salary, stock options, premium subscriptions, and flexible work arrangements.
- Why this job: Be part of a revolutionary AI project that makes health fun and engaging for millions.
- Qualifications: 4+ years in Data Science, strong ML skills, and proficiency in Python and core ML libraries required.
- Other info: Remote work options available for candidates outside Cyprus; hybrid format in Limassol.
The predicted salary is between 43200 - 72000 £ per year.
Palta is a multi-product tech platform developing several mobile apps focused on health and well-being with a combined audience of more than 60 million monthly active users. Our portfolio includes such successful companies as Flo (global leader in female health), Simple (a nutrition and wellness app with over 15m downloads), Zing (personal fitness trainer), and more.
The rapid portfolio growth was fueled by the recently raised $100 million Series B round led by VNV Global, and the group\’s revenue is currently sustainably growing 50% YoY.
Simple is a successful mobile product that has a user base of over 15 million people and has over 100% year-over-year revenue growth. It helps people improve their nutritional habits through personalized programs, meal tracking, and health insights, which allows them to lead healthier and happier lives.Now, we are taking the next big step and working on a new revolutionary AI product that helps each person improve their health in a fun and engaging way.
We are looking for a talented Senior Data Scientist who will join our team to ensure the quality and continuous improvement of our technologies.
Responsibilities
Develop and deploy machine learning models to production, utilizing modern data science techniques to solve business challenges, create services, and monitor pipelines;
Collaborate with development, analytics, and business teams to understand their needs and requirements.
Requirements
4+ years of experience in Data Science;
Strong proficiency in machine learning algorithms;
Expertise in at least one machine learning domain (e.g., recommendation systems, tabular data and \”product\” ML such as LTV, dynamic pricing, time-series analysis, reinforcement learning);
Solid understanding of ML system design and architecture;
Extensive experience with Python, core ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn), SQL, Git, and Docker;
Strong problem-solving skills, attention to detail, and a commitment to delivering high-quality work;
Ability to work with large language models (LLMs), including writing prompts, creating functions, and fine-tuning models when necessary;
Results-driven and impact-oriented mindset.
Preferred
Experience with Go (Golang) programming.
Perks and benefits
Competitive salary package commensurate with experience, plus stock options;
The equipment you need to do your job;
A premium Palta Family subscriptions (Simple, Flo, Zing etc.);
21 days annual leave, plus bank holidays;
Office in Limassol (Hybrid Work Format) or Remote Option for Candidates Residing Outside of Cyprus.
Please read our privacy notice in respect of your application
Please note that your personal data will be stored for one year, as reasonably necessary to resolve any disputes within the hiring process, if any occur.
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Senior Data Scientist employer: Palta
Contact Detail:
Palta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and data science. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Showcase your experience with specific machine learning domains relevant to the role, such as recommendation systems or time-series analysis. Prepare examples of past projects where you successfully applied these techniques.
✨Tip Number 3
Network with current or former employees of Palta on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Prepare to discuss how you approach problem-solving in data science. Be ready to share specific challenges you've faced and how you overcame them, as this will highlight your analytical skills and results-driven mindset.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science, particularly focusing on machine learning algorithms and any specific domains mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your passion for health and well-being. Mention how your experience aligns with Palta's mission and the specific role of Senior Data Scientist.
Showcase Relevant Projects: Include examples of past projects where you developed and deployed machine learning models. Highlight your problem-solving skills and any experience with large language models, as these are crucial for the role.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is essential for a data-driven role.
How to prepare for a job interview at Palta
✨Showcase Your Machine Learning Expertise
Be prepared to discuss your experience with various machine learning algorithms and how you've applied them in real-world scenarios. Highlight specific projects where you developed and deployed models, especially those relevant to recommendation systems or time-series analysis.
✨Demonstrate Collaboration Skills
Since the role involves working closely with development, analytics, and business teams, share examples of how you've successfully collaborated in the past. Emphasise your ability to understand and translate business needs into technical solutions.
✨Prepare for Technical Questions
Expect technical questions related to Python, core ML libraries, and system design. Brush up on your knowledge of SQL, Git, and Docker, and be ready to solve problems on the spot to demonstrate your problem-solving skills.
✨Express Your Results-Driven Mindset
Articulate how your work has had a measurable impact in previous roles. Discuss specific outcomes from your projects, such as improved user engagement or revenue growth, to show that you are results-oriented and committed to delivering high-quality work.