Position: Data Scientist
Company: LifeBrand Kyiv
Category: Data Science
Experience required: 3y
English level: upper
Published: 2022-02-01T00:00:00+02:00

**WHO YOU ARE**
You are an expert, who just loves the work with data. 

You'll be responsible for overseeing the collection, storage, and interpretation of socio-demographic data to make sure our product is corresponding with users’ behavior on social media.

You are a team player and team leader, who has strong problem-solving skills with an emphasis on product development.


**WHAT YOU'LL DO**

**Data Wrangling/Exploration: **
• Follow consistent practices to ensure data integrity and deal with 
  imperfections in data
• Champion the acquisition of new data sources to enhance value and fill 
  gaps, automate collection processes, effectively process structured and 
  semi-structured/unstructured data, proficiently integrate varied datasets
• Collaborate with business stakeholders as needed to ensure solid data 
  understanding and proper data transformation
• Work cross-functionally with development and engineering teams 
• Analyze large amounts of information to discover trends and patterns, draw conclusions and gain actionable insights

**Machine Learning: **
• Build predictive models; propose solutions and strategies for business 
  problems
• Apply the appropriate machine learning algorithm to data problems (e.g. 
  supervised vs. unsupervised machine learning, clustering, ensemble 
  methods, etc.); validate model results
• Deploy and monitor prepared models; communicate results in a clear and 
  non-technical manner

**Statistics: **
• Apply appropriate statistical techniques to data exploration and model 
  development/assessment
• Communicate complex statistical concepts to non-technical audiences
• Maintain skills through continuing education

**Data Visualization: **
• Create meaningful data visualizations to communicate results and highlight 
  business impact
• Utilize various techniques and delivery methods of visualization that are 
  audience-appropriate

**Programming: **
• Effectively collaborate with others to deliver efficient and high-quality code
• Implement a solid validation process to ensure consistency and minimize 
  errors
• Be relative to the best practices in version control

**Communication & Relationship Building: **
• Interact with senior management and effectively communicate technical 
  information to numerous audiences
• Effectively develop relationships with individuals throughout LifeBrand, 
  university research teams, and tech industry  of IT
• Address challenges to analytic processes and influence others to change 
  their approach and work collectively to implement new tools/techniques

**SKILLS & REQUIREMENTS**
• Bachelor’s degree in IT or math-related field and 4+ years of experience in 
  the data science field
• Fluent in English (C1/C2)
• Problem-solving skills, business acumen, and demonstrated excellent oral 
  and written communication skills
• Expert SQL and Python skills
• Excellent data visualization skills
• Knowledge of data structures and data architecture
• Experience with machine learning, statistical and predictive modeling; 
  experience in NLP and/or image recognition is a plus
• Experience with at least one of the ML frameworks
• Ability to build and lead a team
• Driven, hard work ethic showing commitment
• Strong organizational skills including attention to detail
• Focus on outcomes and quality of output
• Empathetic and team player

**PERKS**
• Cozy office in the heart of Kyiv
• Flexible working hours and the possibility to work from home 
• 25 days of vacation
• 3 sick days
• Competitive remuneration package
• Fitness membership
• Free language courses
• Free tech courses and tech conferences
• Top of the line MacBook
• Potential trips to the USA and the Czech Republic
• Company team building events
• Snacks to munch on during work
• Possibility to use a parking spot
… and the chance to be part of a groundbreaking new startup!