Data Scientist

Responsibilities

• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings.
• Ensures analytics drive appropriate marketing investment decisions and marketing plan activities.
• Analyzes performance of marketing programs and business initiatives.
• Ensures analysis drives appropriate marketing investment decisions and marketing plan activities.
• Forecasting includes creation of key indicator curves and indices.
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies.
• Makes and implements recommendations through the use of data analysis and segmentation methodologies.
• Integrates key profitability drivers and measures of success-make pricing offer recommendations and performs Ad hoc analytical requests.

Qualifications

• Higher education (Data Science, Mathematics).
• Good knowledge of SQL, Python, SAS (as a plus).
• More than 3+ years of Data Analysis experience.
• Good command of English (not less than Upper-Intermediate level).
• Experience with a prior focus in financial services analytics.
• Advanced analytical and business strategy skills.
• Effective communication skills.
• Solid organizational skills and ability to manage multiple projects at one time.

We offer

• Work Mode: official employment, partial office (3/2) or remotely (m. Kaluzhskaya).
• Benefits: health insurance (covering family), full sick leave payment, additional vacation days, internal education system, global career opportunities.