Position: Senior Data Scientist
Company: Svitla Systems
Experience required: 5y
English level: upper

**Requirements:**
- At least 7-10 years of real-world experience implementing data science projects
- Hands-on experience building and operationalizing machine learning models, including data manipulation, experiment design, developing analysis plans, and generating insights
- 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

**Skills:**
- 5+ years of experience in quantitative modeling/analytics with regression, classification and clustering techniques using machine learning algorithms
- Solid experience designing and developing in Python and SQL. The data scientists should be proficient with Python. Any exposure to Scala is huge plus but not required
- 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
- Experience with deep learning techniques such as feed forward networks, convolution neural networks and LSTMs
- Big data concepts and SQL skills
- Upper Intermediate or Fluent English

**Education Qualification:**
- Master’s degree or equivalent in a quantitative field such as computer science, data science, mathematics, statistics or a similarly relevant field of study.
- Bachelor’s Degree in computer science, Information Technology (IT), or related field.

**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 diwo 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 for both client and teams
- Manage data science projects through their lifecycle, ensuring joint success for the client
- 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