Senior Data Scientist at Euromonitor

Vilnius, Vilnius County, Lithuania -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

90000.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, Image Processing, Data Quality Monitoring, Python, R, SQL, Google Cloud Platform, Data Visualization, Exploratory Data Analysis, Deep Learning, Model Performance Measurement, Documentation, CI/CD, Git, Web Development

Industry

Market Research

Description

About Euromonitor: Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Why work for Euromonitor? In Data Science, we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various forms like semi-structured text in various languages, images or precise numeric values. We have already developed 400+ ML models which help us to identify consumer good attributes our clients are interested in. Currently we are looking for a new colleague to join the team and assist developing new and improving existing ML models according to our client feedback and suggest new ways of looking at the data which would result in new products. Job responsibilities: Formulating hypotheses and developing proof of concept ML models for NLP, Image Processing Supervised/Unsupervised Learning Tasks Translating industry specific knowledge into proper models Monitoring and ensuring data quality Communicating insights effectively in both written and visual way Background in Mathematics/Physical/Natural Sciences or Engineering fields, relevant working experience of 5+ years Advanced knowledge of Google Cloud Platform (GCP), Google stack Advanced knowledge of Python/R/SQL, understanding of merge-request git flow, basic scripting including CI/CD, regular expressions, sell commands, HTML/JavaScript and basic webapp development skills Good coding habits such as proper documentation, linting, styling, reproducibility, code review best practices, and test driven development Skills to maintain ML models; measure performance, add/remove classes, create effective labelling batches, retrain with assessment of the impact Ability to suggest model improvements, propose working solutions for business problems, ensure the model works with existing models, track model experiments and keep model documentations updated Skills to clearly communicate problem status, actions taken, conclusions, improvements and limitations Experience creating and using cloud resources, familiarity with notebooks, SQL instances, buckets, secrets, VMs, and service accounts, understanding and contributing to pipelines, applying model scaling practices and cloud cost awareness Understanding of which visualizations to use with different data types, comfortable with at least one visualization framework and capable of creating shareable/dynamic reports/apps Proficiency in applying EDA principles, classical supervised/unsupervised learning techniques, main NLP technical, a good understanding of deep learning techniques and awareness of model and computational complexity Joining us you will find: Flexible work time with the perfect work/life balance Competitive salary with wide variety of benefits like longer holidays, additional health insurance, social responsibility initiatives you can take part in, office perks Intelligent and fun colleagues working in a constructive and inspiring atmosphere Salary: EUR 68,000 – EUR 90,000 #LI-HYBRID #LI-AO1 Why work for Euromonitor? Our values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity International: not only do we have a very multinational workforce in each office but we are all dealing with our 16 offices worldwide on a daily basis. With 16 offices globally there are regular opportunities for international transfer. Hardworking but sociable: our staff know how to work hard but also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of sports and other groups to be involved with. Committed to making a difference: We think that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights, amongst many other activities. Excellent benefits: we offer highly competitive salaries, healthcare insurance, food vouchers, saving fund, plus generous holiday allowances and in many offices a Core Hours policy allowing flexible start and finish times to each day. Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our managers and directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent. Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.

Responsibilities

The Senior Data Scientist will formulate hypotheses and develop proof of concept ML models, focusing on NLP and image processing. They will also monitor data quality and communicate insights effectively.