Acronis has pioneered the new IT discipline of Cyber Protection, which combines data protection and cybersecurity into a unique and integrated approach. The Acronis Cyber Protect solution is a ground-breaking approach with innovative technology that is revolutionizing the industry as we know it. Acronis is entering an exciting phase of rapid-growth and expansion, and has recently received a $250 million dollar investment from CVC Capital Partners, bringing our total valuation to more than $2.5 billion. So we are looking for more talented and hard-working individuals who are ready for a new challenge and will join us on our mission to protect the digital world!
We are looking for a Data Scientist who will research, build, and deploy sophisticated models and tools to solve complex marketing problems. The successful candidate will design machine learning projects, help collect, interpret, and summarize data, and make predictions and recommend actions based on the research.
We are looking for the next member of our “A-Team.” Are you a highly-motivated individual who thrives in a fast-paced and high-volume work environment? Do you possess a positive can-do, never-give-up attitude? Do you play nice with others on a team? Are you ready to make an impact?
RESPONSIBILITIES:
Business insights
Analyze partners business performanceClassify partners and development of predictive models to forecast partner performanceIdentify features impacting the business performance of partners Data science
Develop and deploy machine learning models to work on data at scalePerform data and error analysis to improve modelsPerform hypothesis testingDevise and utilize algorithms and models to mine data lakesClean and validate data for uniformity and accuracyDevelop standards for testing (inc. detailed design and configuring)Perform exploratory data analysis (EDA) to determine how to handle missing data and to look for trends and opportunities Data storytelling
Generate regular reports and maintain associated updatesDeliver finding through effective data visualization, often for a non-technical audienceDocument processes, providing sufficient descriptive information about data Data engineering
Identify relevant data sources and sets to mineCollect large structured and unstructured datasets and variablesStructure and improve the way data flows through a software applicationIntegrate new datasets that can be leveraged Knowledge transfer
Provide technical mentorship and training to improve data science practicesLearn and acquire knowledge about data science with the team to determine strategies, solutions, and initiativesWorking with operations and marketing to understand where data science can add value Programming
Write computer programs and analyze large datasets to uncover answers to complex problemsBe comfortable writing code working in a variety of languages such as R, Python, and SQL REQUIREMENTS:
Background/ Experience
Experience with production ML tooling (e.g., Airflow, Databricks, Azure, AWS, or GCP)Programming in Python, SQL, R Experience in launching machine learning models at scaleExpertise with statistical techniques and their applications in businessExperience in BI Tools (e.g., Google Data Studio, Tableau, and Qlikview)Experience working with big data (e.g., SQL, Spark) Skills
Ability to apply ML tools and methodsAbility to program in PythonAbility to use probability and statistics analysisAbility to present data in Excel, PowerBI toolsAbility to work with SQL / DatabasesAbility to perform classification, regression and clusteringAbility to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
