Data Scientist - Market Intelligence

Acronis is revolutionizing cyber protection—providing natively integrated, all-in-one solutions that monitor, control, and protect the data that businesses and lives depend on. We are looking for a Data Scientist to join our mission to create a #CyberFit future and protect all data, applications, and systems across any environment.

The Data Scientist will contribute to the development of data strategies, and data systems and drive the strategic growth of our data environments. Reporting directly under the Director of Research, this key role is responsible for backend development that will be used to build company reporting on top of it, maintain data flows from various sources as well as Tabular model/OLAP cubes development and support.

WHAT YOU'LL DO 

• Design and develop automated tools for data collection, clean-up, and analysis
• Apply machine learning to projects on automation of data validation, database enrichment, and prediction of new opportunities and trends
• Collaborate with stakeholders to understand their needs and requirements for market intelligence
• Conduct thorough analysis of data queries to ensure accuracy, consistency, and reliability of results
• Define the scope of research projects and adjust plans based on collected information and business priorities
• Interpret business requests into technical requirements for development and execution
• Make information easily available to product management, marketing, sales, and finance by developing actionable reports and recommendations
• Conduct thorough analysis of data queries to ensure accuracy, consistency, and reliability of results
• Participate in strategic business initiatives and contribute data and market knowledge
• Productize market knowledge and contribute to building a system that automatically guides product management, marketing, sales, and technical support to increase the efficiency of the business function

WHAT YOU BRING (EXPERIENCE & QUALIFICATIONS)  

• 3+ years of experience in data science, analytics, machine learning and/or market intelligence
• Hands-on experience with data management, including collection, clean-up, and analysis
• Advanced SQL skill; past experience with MS SQL server is an advantage
• Solid Python knowledge with exposure to the following or similar libraries: Pandas, NumPy, PyTorch, SpaCy, NLTK, scikit-learn
• Power BI proficiency, including DAX knowledge
• TensorFlow knowledge is an advantage
• Strong project and stakeholder management skills
• Attention to detail, excellent organizational skills, and ability to prioritize work effectively
• Solid communication and cross-functional engagement skills
• Proven experience in IT industry
• Self-motivated, proactive, and able to work with minimal supervision
• Strong English skills

*Please submit your resume and application in English 

WHO WE ARE 

Acronis is revolutionizing cyber protection by unifying backup, disaster recovery, storage, next-generation anti-malware, and protection management into one solution.  This all-in-one integration removes the complexity and risks associated with non-integrated solutions and offers easy, complete and reliable data protection for all workloads, applications, and systems across any environment—all at a low and predictable cost. 

Founded in Singapore in 2003 and incorporated in Switzerland in 2008, Acronis now has more than 2,000 employees and offices in 34 locations worldwide. Its solutions are trusted by more than 5.5 million home users and 500,000 companies, and top-tier professional sports teams. Acronis products are available through over 50,000 partners and service providers in over 150 countries and 26 languages.  

Our corporate culture is focused on making a positive impact on the lives of each employee and the communities in which we live. Mutual trust, respect, personal achievement, individual leadership, and a belief that we can contribute to the world everyday are the cornerstones of the Acronis Team. 

Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances. 

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