We are seeking an experienced and highly motivated Senior Data Scientist to join our dynamic team. The successful candidate will be instrumental in developing and deploying advanced analytical models, extracting meaningful insights from complex datasets, and contributing to data-driven decision-making across the organization. This role requires a strong background in statistical modeling, machine learning, and programming, coupled with excellent communication skills to translate complex findings into actionable strategies.
Задачи
Model Development & Deployment: Design, develop, and implement advanced machine learning models, statistical analyses, and predictive algorithms to solve complex business problems
Translate prototypes into production-ready solutions, ensuring scalability, efficiency, and reliability
Data Analysis & Insight Generation: Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies
Extract actionable insights from large, diverse datasets and communicate findings effectively to technical and non-technical stakeholders
Problem Framing & Solution Design: Collaborate with business stakeholders to understand key challenges, define problem statements, and formulate data-driven solutions
Translate business requirements into technical specifications for data science projects
Algorithm & Technique Expertise: Apply a wide range of machine learning techniques (e.g., supervised, unsupervised, reinforcement learning), statistical methods, and optimization algorithms
Stay abreast of new research and advancements in the field
Data Governance & Quality: Work closely with data engineering teams to ensure data quality, accessibility, and appropriate governance for analytical purposes
Mentorship & Leadership: Provide technical guidance and mentorship to junior data scientists
Contribute to the development of best practices, coding standards, and model documentation within the team
Cross-Functional Collaboration: Partner with product managers, engineers, and other teams to integrate data science solutions into products and operations
Experimentation & A/B Testing: Design and analyze A/B tests and other experiments to evaluate the impact of new features, models, and business strategies
Требования
5+ years of professional experience in data science, machine learning, or a related analytical role
Proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, Pandas, NumPy) or R
Strong expertise in statistical modeling, hypothesis testing, experimental design, and causal inference
Demonstrated experience with various machine learning algorithms (e.g., regression, classification, clustering, deep learning, NLP)
Solid understanding of data structures, algorithms, and software development best practices
Experience with SQL and working with large-scale relational and non-relational databases
Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP)
Excellent communication and presentation skills, with the ability to explain complex analytical concepts to diverse audiences
Proven ability to work independently and collaboratively in a fast-paced environment
Будет плюсом
Experience with MLOps practices and tools for deploying, monitoring, and maintaining machine learning models in production
Publications in relevant conferences or journals
Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
Most Relevant Skills Please see the requirements listed above
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi
View Citi’s EEO Policy Statement and the Know Your Rights poster
Паспорт вакансии
История публикации
Появилась в Вакандии25 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 16 дней назад
Среди похожихНет данныху карточки не хватает полей, чтобы найти похожие
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвычитано из текста вакансии
Формат работыне указан
ГеографияБангалор, Индиявычитано из текста вакансии
Зарплатане указана
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки502 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки нет вовсе
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
careerОсновная публикация · дата неизвестна
EC
Работодатель
Early Career
31 активных вакансий · вилка работодателя указана в 0%