Fractal Analytics is one of the most prominent players in AI and analytics space. Fractal’s mission is to power every human decision in the enterprise, and brings AI, engineering, and design to help the world’s most admire Fortune 500 companies.
25 лютого 2020

Data Scientist (вакансія неактивна)

Київ

About Fractal Analytics
Fractal Analytics is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage the data that they generate using advanced and sophisticated algorithms from Artificial Intelligence and Machine Learning. Additionally, the group is also involved in creating a rich and diverse portfolio within Artificial Intelligence, Machine Learning, and Big Data.

The person, we are looking for:
We are looking for Data Scientists with the capability to perform independent statistical and machine learning research/ projects. As a data scientist, you will be involved in using state of the art machine learning algorithms to solve challenging high-impact business problems. If you are a problem solver with a curiosity for exploring new techniques and technologies in AI & ML space, then we would like to talk with you.

Required skills:
• At least 2.5-5 years of hands-on experience in running Advanced analytics projects.
• B.E/B.Tech/M.Tech in Computer Science or related technical degree or similar.
• Intermediate/ Upper-Intermediate English.
• High proficiency in concepts and algorithms used in design of experiments.
• Extensive experience in Demand Forecasting
• Expert-level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM etc.
• Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian, etc.
• Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management.
• Good to have working experience in one or more of Probabilistic graphical models, Reinforcement learning, NLP and related areas.
• Problem-solving, project management, communication skills, creative thinking.

Key responsibilities:
• Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.
• Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.
• Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.
• Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management.

We offer:
• The opportunity to work with a world class team of talented data scientists with a strong background in machine learning, and who are extremely passionate about solving real-world applied problems in the various business domains.
• A real opportunity to expand your skill-sets and a chance to learn and use the latest advances and approaches in machine learning and data mining on real world datasets.
• Working at a fast-paced work-environment where you are expected to be self-motivated and are measured on your performance.
• Competitive salary and end-year bonuses.
• Possibility to travel onshore and clients’ side.
• Learning and professional development: access to company learning platforms with free courses, external certifications and learning programs, workshops, cross-locations and cross-projects exchange programs.
• Health insurance and paid leave of 27 days;
• Free snacks, tea, coffee;
• Company parties, celebrations, events.

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