Benefits:

• Полностью удаленная работа

• Полная занятость или проектная работа

• Заработная плата по результатам собеседования

• Обучение и поддержка

Education Requirements:

• Приветствуется филологическое, лингвистическое, литературное образование

Experience Requirements:

• Опыт работы с текстами (копирайтинг, художественные тексты, написание технической документации и пр.)

• Дисциплинированность, умение самоорганизоваться

• Минимальные навыки работы с табличными данными

Responsibilities:

• Модерация информации на достоверность данных

• Сбор, подготовка и разметка наборов данных для формирования датасетов

Benefits:

• Работа в московском офисе, возможна удаленная работа

• Полная занятость, проектная занятость

• Интересные задачи: работа в стартап-проекте, научно-исследовательская работа

• Заработная плата по результатам собеседования

Experience Requirements:

• Опыт работы от 4-ти лет

• Опыт реализации и применения моделей машинного обучения

• Знание принципов работы нейросетевых моделей для обработки текста

• Желателен опыт работы с различными источниками данных: SQL, Cassandra, Hive, Presto, Kafka, и др.

• Уверенное владение Python (numpy, scipy, pytorch, sklearn)

Responsibilities:

• Разработка и внедрение в продакшн моделей машинного обучения

Benefits:

• Challenging Projects

• Entrepreneurial Team

• Autonomy in Work

• Learning Sessions

• Networking events

Education Requirements:

• A Master's or Bachelor's degree in Engineering, or a related field such as MCA/B.tech/MTech/ME/PhD is required

Experience Requirements:

• 3-6 years of hands-on experience in data analytics in a fast paced organization

Responsibilities:

• Get hands-on with data to solve complex business problems, brainstorm with team/stakeholders for efficient solutioning

• Translate the business problem into an analytical problem

• Strong hands-on experience with SQL and Python and PYSPARK (Preferred)

• Strong Expertise in manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources.

• Define key metrics for business functions that help in streamlining their operations and drive improvements

Education Requirements:

• A U.S. Bachelor’s Degree or a Foreign Equivalent Degree in Computer Engineering

Experience Requirements:

• 5+ years of progressive, post-baccalaureate experience in Management and Software Development

Responsibilities:

• Responsible for identifying opportunities to improve the product and customer experience across machine learning based solutions

• Building and designing the architecture of the products

• Managing a team of developers and data scientists to solve the customer problems and building the product providing strategic and tactical insights based on the technological developments

Benefits:

• Competitive salary

• Three weeks of paid vacation per year

Experience Requirements:

• At least 10 years of experience in machine learning development, and analysis of large datasets

Responsibilities:

• Analyze large amounts of clinical and field-generated data

• Make inferences and build a robust machine learning algorithm in AWS

Benefits:

• Supportive team environment

• Flexible schedule

• Competitive salary

• Best-in-class benefits package (medical, life, dental & vision)

• 401(k) with company match

Education Requirements:

• BSc/BA in Engineering, Computer Science, or a relevant field

Experience Requirements:

• At least 2 years of proven experience as a data analyst

• Proven abilities to take initiative and innovate

• Solid background in data warehouse design (e.g., dimensional modeling)

• Experience with big data technologies (e.g., AWS Athena, Spark)

• In-depth understanding of database management systems, online analytical processing (OLAP), and ETL frameworks and tools

Other Requirements:

• Experience with data visualization of large data sets using BI systems (e.g. Power BI, AWS QuickSight, Tableau, etc.)

• High proficiency in SQL

• Knowledge of Python

• Ability to leverage data-driven decisions to drive performance optimizations

• Being referred by a current Rep team member is a plus!

• Critical thinker and problem-solving skills

• Fluent English level

• Strong analytical skills

• Team player

Responsibilities:

• Develop and enhance the analytics dashboard for deeper insights

• Design, implement, and manage ETL processes

• Generate internal daily reports and dashboards

• Collate information from business stakeholders to generate insightful reports

• Conduct A/B testing to analyze and improve product performance

Benefits:

• €2000–4000 gross salary depending on the experience

• Remote work option

• Ability to grow with a dynamic startup and work on an exciting product

• Freedom to experiment with your ideas

Experience Requirements:

• At least 2 years of experience in a similar role

• Experience working with data in Python

• Experience with Looker, Tableau, or other business analytics tools

• Knowledge of SQL and NoSQL databases

Responsibilities:

• Find meaningful business insights in large-scale data

• Visualize the data, create dashboards and reports for the business

• Import and transform data for machine learning models

• Optimize the data collection, storage, and analysis on a large scale

Benefits:

• €2000–5000 gross salary depending on the experience

• Remote work option

• Ability to grow with a dynamic startup and work on an exciting product

• Freedom to experiment with your ideas

Experience Requirements:

• At least 2 years of Python development experience

• Experience building production-grade machine learning solutions

• Experience developing REST APIs

• Knowledge of TensorFlow, pytorch, pandas, and other popular ML packages

Other Requirements:

• Experience with natural language processing

• Experience developing recommender systems

• Experience with Docker, Kubernetes or other ML deployment strategies

Responsibilities:

• Develop an industry-leading natural language processing (NLP) system

• Develop travel product personalization engine

• Design, deploy, and monitor ML models in production

• Build APIs around machine learning models

Benefits:

• Learning & Upskilling Program

• Financial Education & Empowerment

• Employee Engagement Fridays

• Comprehensive Health Benefits

• Employee Stocks & Bonuses

Education Requirements:

• Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline

Experience Requirements:

• 2-3 years of experience as Data Scientist

Other Requirements:

• Statistical Knowledge

• Machine Learning

• Programming Skills

• Specialized Knowledge

Responsibilities:

• Collaborate with product design and engineering teams

• Research and devise innovative statistical models

• Enable smarter business processes

• Keep current with technical and industry developments

• Execute analytical experiments to solve problems across domains and industries

Benefits:

• Equity awarded at the 6-month mark on 4-year vesting schedule with a 1-year cliff

• Public transit pass

• Competitive Pay

• Hybrid work

• Paid vacation and sick leave - 15 days per year

Education Requirements:

• Master/Phd Required

Experience Requirements:

• Data science and technical experience

• Successful customer data implementation experience

• Demonstrable leadership skills

• Polished and professional business acumen

• Successfully partnered with Sales Leaders

Other Requirements:

• Must be able to build strong rapport and establish trust and credibility through a consultative approach

• Strong analytical capabilities for advanced problem-solving

• Excellent written and oral communication skills

• Comfortable working in a high-growth, constantly changing environment

Responsibilities:

• Own Data Science processes end-to-end: from data collection, structuring, and preprocessing, through model development, all the way to deploying models to production.

• Collaborate with the Product and Engineering team to create dashboards and reports to provide meaningful insights.

• Collaborate with the product, engineering, and customers to standardize the process but also provide unique solutions to each customer as needed based on the project

• Designing and building data pipelines infrastructure for production and research.

• Take a leading part in building our research program, help hire and train junior researchers, and help set the team’s culture and foundations for significant growth.

Responsibilities:

• Deal Sourcing and Market Analysis

• Predictive Analytics

• Underwriting and Financial Modeling

• Data-Driven Lead Generation

• Process Optimization

Benefits:

• Medical Insurance

• Pension

• Flexi-working

• Share Options

Experience Requirements:

• Mid to Senior

Responsibilities:

• Delivering AI/ML solutions

• Working with clients

• Improving the Kortical platform

Benefits:

• Competitive Salary

• Company Performance related bonus

• INR 15000 work from home allowance

• Unlimited Holidays

• Maternity and Paternity Leave

Experience Requirements:

• Professional newsroom, fact-checking, or other editorial experience of at least 2-3 years

Other Requirements:

• Impeccable grammar and excellent writing skills

• Strong understanding of the political and media landscape in India

• Ability to grasp new and complicated information quickly

• Ability to research and write original, high-quality fact-checks reports to strict editorial standards and tight deadlines

• Ability to discover and flag misleading claims using different platforms and techniques

• Ability to proactively pitch ideas around misleading claims that can be fact-checked

• Strong analytical skills

• Ability to remain impartial and critical while writing on complex and sensitive topics

Responsibilities:

• Discover misleading claims with the use of different platforms and techniques

• Write original, high-quality fact-check reports to strict editorial standards and tight deadlines

• Write news reports and long-form articles related to the subject of mis/disinformation

• Work on content moderation and fact-checking projects with social media platforms

Benefits:

• Engaged team

• Summits

• Growth opportunities

• Work-life balance

• Hybrid working policy (Office-first, flexible approach)

Experience Requirements:

• Passionate about data and algorithms

• Problem-solving mindset

• Excellent task management and self-leadership

• Strong foundation in Python, SQL, Databricks, and Azure

Other Requirements:

• User-centric approach

• Collaborative and humble team player

Responsibilities:

• Design algorithms and machine learning models

• Develop targeting features

• Solve challenges related to segmentation and predictive analytics

Benefits:

• A comfortable and relaxed working atmosphere in a small, enthusiastic, young team

• Salary according to industry expectations, constantly re-evaluated while you learn and gain more experience

• Flexible working hours

• Work from home and occasional remote work

• A chance for further professional development through research, practical applications and knowledge sharing with co-workers

Education Requirements:

• Bachelor/Master of Mathematics, Statistics, Computer Science or similar technical/quantitive field

Experience Requirements:

• 1-2 year experience at an analytics/data science position

Other Requirements:

• Good knowledge of mathematics, statistical modelling and basic understanding of machine learning principals and algorithams

• Experience in programming, preferably R and python, or similar languages

• Basic knowledge of databases and SQL

• Good knowledge of written/spoken english

• basic knowledge and experience using Git

• experience with online marketing platforms

Responsibilities:

• developing and improving mathematical / machine learning models for solving specific e-commerce problems

• implementation of models (in R and python)

• education in online advertising and possibly working directly with e-commerce customers in order to better understand their needs