Senior Data Scientist at Qodea
, , Romania -
Full Time


Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Statistics, Probability, Machine Learning, AI Solutions, Python, SQL, Cloud ML Tools, Version Control, MLOps, Communication Skills, Collaboration, Problem Solving, Data Solutions, Technology Evaluation, Stakeholder Management

Industry

IT Services and IT Consulting

Description
Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We’re driven by ideas and powered by our people. We are looking for a Senior Data Scientist to join our professional services team. We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client's site. How You’ll Shape Our Success The purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations. What You’ll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience with MLOps Collaborative, proactive, logical, methodical, and attentive to detail Excellent communication skills (verbal and written) Collaborate with clients to understand their business problems and design technical solutions using machine learning models Develop and deploy machine learning models on Google Cloud Use version control and agile working practices Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. What You’ll Need to Succeed Demonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationships Provides valuable feedback and acknowledges achievements in a constructive manner Utilizes diverse influencing techniques to achieve goals Possesses exceptional conflict resolution skills and can effectively negotiate in difficult situations Maintains a delicate balance between personal and team objectives Displays sensitivity to the needs of others and readily offers assistance when needed Capable of independently developing data solutions using appropriate tools and techniques Exhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areas Adept at evaluating and incorporating new technologies into existing solutions Provides expert advice and support to customers in defining effective solutions Skillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders. How You’ll Grow Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs. Potential career development could include progression to the next level or cross-skilling into related roles, such as Principal or Lead Data Scientist. Financial: Competitive base salary. Discretionary company bonus scheme. Employee referral scheme Meal Vouchers Health & Wellbeing: Health Care Package Life and Health Insurance Bookster Time Off & Flexibility: 28 days of annual leave Floating bank holidays An extra paid day off on your birthday. Ten paid learning days per year. Flexible working hours Sabbatical leave (after 5 years). Work from anywhere (up to 3 weeks per year). Development & Recognition: Industry-recognised training & certifications. Bonusly: employee recognition and rewards platform. Clear opportunities for career development. Length of Service Awards. Extra Perks: Regular company events.
Responsibilities
The Senior Data Scientist will advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions. This role involves collaborating with clients to understand their business problems and developing technical solutions that deliver measurable value.
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