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Svitla Systems is a multinational software development company headquartered in California, with business and development offices throughout the US, Mexico, and Europe (Ukraine, Poland, Germany).
8 января 2021

Senior Data Science Engineer (вакансия неактивна)

Киев, Харьков, Львов, удаленно

Svitla Systems Inc. is looking for a Senior Data Scientist for a full-time position (40 hours per week) in Ukraine. Our client is developing an innovative Decision Intelligence platform that is changing the way enterprises utilize AI to transform their decision-making. The design is based on several patented methods built around the concept of an opportunity and cognitive decision-making. Currently, it is being deployed across several large enterprises in retail, financial, manufacturing, and automotive/OEM customers to solve unique and interesting business problems. These deployments are extensive, high complex with multi-year support for ongoing enhancements. We are seeking highly motivated, enthusiastic, and energetic individuals to join this fast-growing team. A great opportunity for critical thinkers to learn some of the most advanced technologies and business-related acumen.

Requirements:

At least 7-10 years of real-world experience implementing data science projects;
5+ years of experience in quantitative modeling/analytics with regression, classification, and clustering techniques using machine learning algorithms;
Bachelor’s Degree in computer science, Information Technology (IT), or related field;
Master’s degree or equivalent in a quantitative field such as computer science, data science, mathematics, statistics, or a similarly relevant field of study;
Solid experience designing and developing in Python or Scala and SQL;
Hands-on knowledge of Neural Networks and ML Packages (sklearn/sqboost/Tensorflow/Keras, H20), etc;
Experience with NLP techniques such as BoW, Word2vec, sentence parsing;
Familiarity with probabilistic/stochastic modeling for real-time decision making using online estimation techniques;
Thorough understanding of underlying mathematical concepts;
Hands-on experience building and operationalizing machine learning models, including data manipulation, experiment design, developing analysis plans, and generating insights;
Experience with deep learning techniques such as feedforward networks, convolution neural networks, and LSTMs;
Big data concepts and SQL skills;
Strong project management and client interaction skills;
Strong communication and presentation skills, including translating complex concepts in clear, concise, and meaningful ways that non-technical people can easily understand;
Strong interpersonal, analytical, and problem-solving skills to lead teams of data scientists and software engineers to successful project execution;
Resourceful, proactive, innovative, and a clear and creative thinker, interested in using data and analytics to support decision making across a variety of domains;
Excited about rolling up the sleeves and diving into new problems and domains without hesitation;
Upper-Intermediate or Fluent English is a must.

Responsibilities:

Represent the platform to customers through technical presentations, product demonstrations, and proofs-of-concept;
Relay the customers’ feedback and point to view to the product team, informing the future direction of the application and platform;
Apply rigorous analytic methods, purposeful insights to solve challenging technical problems for clients;
Develop tools for analysis and process efficiency, advance analytical methods and share knowledge in partnership with Business Solution Architects;
Lead ML and predictive modeling projects, including the development and implementation of experimental designs, and the development of complex machine learning models;
Build long-term relationships with client teams and be the trusted advisor for data science topics;
Manage data science projects through their lifecycle, ensuring joint success;
Work collaboratively with key stakeholders, including client teams and executives, sales teams, Business Solution Architects, R&D teams;
Provide leadership and coaching to data science and R&D teams to establish data science best practices;
Present us at industry conferences and create thought leadership articles and content for market consumption.

We Offer:

Competitive compensation plan that takes skills and experience into consideration.
Annual performance appraisals.
Possibility to choose your workspace either remote or combination of your home and one of our development offices.
Flexible working hours and adjustable work/life balance.
Projects that use advanced, cutting-edge technologies.
Competitive bonuses for a personal recommendation of new employees.
Vacation time, sick-leaves, national holidays, family supplementary days off.
Comprehensive medical insurance including dental services, massages, and sports activities.
Support for a healthy lifestyle, compensation of running events.
Maternity leave policy.
A personal loan budget is available for long-term personnel.
Partial compensation of conferences, courses, and English classes.
Free meetups, webinars, and conferences organized by Svitla.
Birthday presents for personnel and New Year gifts for children.
Fun summer and winter corporate parties and memorable anniversary presents.

About Svitla:

Svitla Systems is a multinational software development company headquartered in Silicon Valley, with business and development offices throughout the US, Mexico, and Europe (Ukraine, Poland, Western Europe). Svitla is an outspoken advocate of workplace flexibility, best known for its well-established remote culture, individual approach to our teammate’s professional and personal growth, and family-like environment.

Since 2003, Svitla has served a wide range of clients, from innovative start-ups in California to mega-large corporations such as Ingenico, AstraZeneca, and Ancestry. At Svitla, developers work with clients’ teams directly, building lasting and successful partnerships, as a result of seamless integration with on-site processes.

Svitla Systems’ global mission is to build a business that contributes to the well-being of our partners, personnel and their families, improves our communities, and makes a lasting difference in the world. Join us!