Data Scientist

Good Job! Good Life!

The Headhunter Group provides HR services, HR consulting, raising awareness of employers about the importance of human resources departments in the company.

The Headhunter Group has offices in Albania, Macedonia, Montenegro, Bosnia and Herzegovina, Serbia, Kosovo, Bulgaria, Greece, New York and Texas (USA), Canada and Mexico. We offer the newest mentality in the Staffing industry and our core business are Candidates and Clients.

For our Client - an innovative company that provides advertising solutions we are looking for:

                                                       Data Scientist



Job Summary:
The Data Scientist has ownership to utilize data collected through analytical, statistical, and other means, in developing solutions tailored to meet and drive the organizations unique needs. The data scientist interprets raw data with the sole purpose of defining patterns and identifying solutions that help the organization grow and compete.

Essential Functions:
The Data scientist will have several key responsibilities in the fulfillment of their duties including:

70% of Work:

• Analyze complex datasets using advanced statistical methods and tools, such as Python, Grafana, and others to derive actionable insights, develop smart business solutions and drive business recommendations.
• Develop and maintain interactive dashboards and visualizations within analytic tools (Grafana) to effectively communicate data insights to business stakeholders.
• Create and define key performance indicators (KPIs) to measure the effectiveness of data-driven initiatives.
• Continuously learn and stay updated on industry trends, best practices, and emerging technologies in the data engineering and analytics space.
• Utilize Python and SQL for data extraction, transformation, and loading (extract, transform, load - ETL) processes.
• Perform data validation and enrichment to ensure accuracy and consistency.
• Create and maintain data models and metadata documentation.

20% of Work:

• Partner with stakeholders across business units (ex: sales, finance, security, compliance) to develop analyses and documentation in a collaborative way, communicating effectively and efficiently with production, managerial, and executive teams.
• Utilization of business sense and communication skills to influence how the organization tackles and resolves business challenges.

10% of Work: Additional duties and responsibilities as assigned.

Experience and Qualifications:

The successful Data Scientist should have core experience and skills in computer science: data structures, algorithms, relational databases, and model design including experience in several coding languages:

• Considerable experience in open-source data mining, machine-learning, and operations research including regressions and classification models.
• Good knowledge of Python and SQL (accessing databases).
• Strong math, analytical and critical thinking skills, with business acumen.
  Persuasive communication and presentation skills.

• Working experience with cloud computing services such as AWS, Google Analytics, Redshift or Google Cloud Platform.
• Familiarity with version control tools, such as Git and GitHub required.

When evaluating the candidate, special attention will be paid to the following competencies:

• Intellectual Curiosity and Critical Thinking, necessary to analyze a problem from multiple perspectives and examine the interrelationships between data that may appear superficially unrelated.
• Autonomous, to own projects end-to-end; ability to work on the entire stack without being dependent on other team members.
• Focus, to design and evaluate a technique over specific time periods, find it doesnt work, learn from the failure, and try again.
• Attention to Detail, in order to maintain rigor and to detect and avoid over-reliance on intuition when examining data.
• Clear and concise written and oral communication, in order to communicate complex quantitative analysis in a clear and precise manner.
• People skills necessary to build good working relationships and work as part of a team.

Education and Training:

Data scientists typically need a bachelors degree in Computer Science, Mathematics, or Statistics, plus 2-4 years previous work experience as a data scientist.

Feel free to send a resume: b.hodzic@theheadhunter.com