Senior Data Scientist at NewMind AI

Sarıyer, Istanbul, Turkey -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 25

Salary

0.0

Posted On

29 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Analysis, Machine Learning, Python, R, Data Visualization, Deep Learning, Natural Language Processing, Big Data Technologies, SQL, NoSQL, Project Management, Analytical Skills, Problem-Solving, Communication, Collaboration

Industry

Software Development

Description

I - Who We Are? NewMind AI is an innovative and pioneering company specializing in leveraging big data through a comprehensive and holistic approach. From data digitization and classification to deriving meaningful insights and extracting actionable outputs, we employ advanced taxonomies and ontologies to organize data in a structured and insightful manner, creating a semantic layer to better understand corporate data. Our mission extends beyond mere data structuring; we empower companies to transform their data into actionable insights, facilitating dynamic corporate governance. With over 300 task-oriented and domain-specific AI models, built using an orchestration of experts framework, we provide robust solutions for dynamic corporate governance. By implementing dynamic knowledge network structures, we develop advanced AI models that ensure effective management of corporate data in the business world. Our expertise spans AI-driven business solutions, including AI legal tech products, excelling in natural language processing, deep learning, machine learning, data analysis, and data visualization. Headquartered in YTÜ Teknopark, Maslak, Istanbul, and operating four specialized laboratories—Data Visualization Lab in India, Data Taxonomy Lab in Bomonti, and Big Data and Legal Tech Labs in Maslak—we are leaders in big data analysis in Türkiye and beyond. Our flagship dynamic knowledge management platforms, Mecellem, Malumat, and Mahfuz, empower professionals across various industries by streamlining complex tasks, optimizing decision-making, and managing business risks with precision. Through our cutting-edge AI tools, including Generative AI, LLMs, text-to-speech and speech-to-text, image recognition, voice recognition, function call, graphRAG, OCR, blockchain and RAG, we set new standards in business technology. We deliver smarter, more dynamic solutions for the business world, both in Türkiye and internationally. II - Who We Are Looking For? We are seeking a highly skilled and experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in data science, statistical analysis, and machine learning, with a proven track record of developing and deploying data-driven solutions. This role requires a deep understanding of data analysis techniques, statistical methods, and proficiency in relevant programming languages and tools. Demonstrates the ability to switch between multiple concurrent projects while staying focused and productive, and quickly learns and adapts to new tools and technologies as needed. III - What Will Be Your Responsibilities? (i) Develop and deploy advanced data science models and algorithms to solve complex business problems. (ii) Perform in-depth data analysis to extract insights, identify trends, and inform strategic decisions. (iii) Collaborate with cross-functional teams to translate business requirements into data science solutions. (iv) Stay up-to-date with the latest advancements in data science and machine learning fields. (v) Optimize existing models and analytical processes for improved performance and efficiency. (vi) Implement code quality and continuous integration best practices to ensure robust and reliable solutions. IV - What Is Required from You? (i) Qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Master's or PhD degree is a plus. (ii) Experience: 5+ years in data science, leading data-focused teams and deploying complex models and predictive analytics. (iii) Expertise: Deep expertise in Python and R, including advanced proficiency with key data science libraries such as pandas, NumPy, scikit-learn, and PyTorch; expertise in statistical analysis, machine learning algorithms, and data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn); proficient in end-to-end model lifecycle management: data analysis, preprocessing, training, validation of GenAI models, and containerization (Docker); experience with big data technologies (e.g., Hadoop, Spark) and advanced database proficiency (NoSQL/SQL). (iv) Knowledge: Expertise in database technologies, with advanced proficiency in at least one of NoSQL (e.g., Elasticsearch, MongoDB) or SQL (e.g., Postgres, MySQL) for complex data analysis. (v) Skills: Self-motivated, organized, proactive, and flexible, with strong leadership and project management skills. (vi) Language: Fluent in Turkish and English (written and spoken) for effective communication with international teams and clients. (vii) Competencies: Exceptional analytical and problem-solving skills; ability to conduct comprehensive error analysis and refine models; excellent communication and collaboration skills, with the ability to convey complex technical findings to both technical and non-technical stakeholders through clear visualizations, insightful reports, and compelling presentations; proven ability to work independently and lead cross-functional teams; strong business acumen to deliver actionable insights aligned with organizational goals; experience proactively monitoring model drift and assessing data quality to ensure reliability, fairness, and consistency in production systems; commitment to self-driven learning and adaptability to company-specific contexts. V - Why Work at NewMind AI? NewMind AI offers a unique opportunity for ambitious young professionals seeking to make a real impact in the rapidly growing field of AI. As a company at the forefront of AI innovation, we are driven by a strong mission to empower businesses with actionable insights derived from data. This translates to a dynamic and stimulating work environment where you will be challenged to think critically, develop your skills, and contribute to groundbreaking projects. Here are some key reasons why NewMind AI is an ideal place for young talent: (i) be a part of something bigger: Our work goes beyond simply developing AI models. We are shaping the future of business and helping organizations navigate the complex world of data-driven decision-making; (ii) work with leading experts: You will be surrounded by a team of passionate and knowledgeable individuals who are experts in their fields. This collaborative environment fosters continuous learning and growth; (iii) gain valuable experience: You will have the opportunity to work on diverse projects, utilizing cutting-edge AI tools and technologies, including Generative AI, LLMs, and more; (iv) make a real difference: Your contributions will directly impact our company's growth and success, contributing to the advancement of AI technology and its positive impact on the world; (v) global reach: As a company with a global presence, you will be exposed to a diverse range of perspectives and opportunities to work with clients and partners from around the world; (vi) invest in your future: NewMind AI is committed to supporting its employees' professional development and offers opportunities for growth within the company. Engage with open-source AI innovation: Monitor and participate in upstream open-source AI/ML communities, evaluate emerging AI/ML technologies, and explore opportunities for integration and collaboration. You’ll also have the chance to actively contribute to the development of open-source projects, reinforcing your expertise while advancing innovation across the ecosystem. If you are a driven and ambitious young professional eager to make your mark in the world of AI, NewMind AI is the place for you.

Responsibilities

The Senior Data Scientist will develop and deploy advanced data science models and algorithms to solve complex business problems while performing in-depth data analysis to extract insights and inform strategic decisions. Collaboration with cross-functional teams to translate business requirements into data science solutions is also a key responsibility.