Data scientist

Fractal Analytics is looking to expand its team of Data Scientist in Kyiv (Ukraine) office. This opportunity is for those specialists who are looking for:

• exciting and challenging tasks;
• joining experienced and collaborative team of Data Scientists;
• helping companies from different industries to solve real business problems by leveraging data and analytics.

The person, we are looking for:

• At least 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.

We offer

What's in it for you?

Fractal Analytics is...

Best team: multicultural team of bright specialists and friendly, helping people (data scientists, ML/AI specialists, data engineers, developers, business analysts, QA team, as well as internal support staff);

Challenge: plenty of complex and exciting projects from international clients;

Income: competitive salary and end-year bonuses;

Travelling: possibility to travel onshore and clients' side;

Learning and professional development: access to company learning platforms with free courses, external certifications and learning programs;

Being healthy: free insurance after probation period; paid vacation;

Communication: company parties, celebrations, workshops in different locations, cross-locations and cross-projects exchange programs.

Responsibilities

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.
• Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches
• Firm building: Contribute to firm growth by participating and conducting training sessions.
• Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management.