Data Scientist

Euromonitor International; Ciudad de México; In loco; MXN 749.484 - 1.124.227; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work time

Additional health insurance

Competitive salary

Longer holidays

Descrizione del lavoro

A leading market research company in Mexico is seeking a Data Scientist to develop and enhance ML models based on consumer data. The ideal candidate will have experience in Python, R, and SQL, along with the ability to communicate insights effectively. The company values work-life balance and offers competitive salaries with extensive benefits and growth opportunities.

Competenze

• 2+ years of relevant working experience.
• Ability to communicate insights effectively in both written and visual formats.
• Familiarity with notebooks, SQL instances, and cloud resources.

Mansioni

• Formulating hypotheses and developing proof-of-concept ML models.
• Translating industry-specific knowledge into proper models.
• Monitoring and ensuring data quality.

Conoscenze

Python

R

SQL

Machine Learning

Natural Language Processing (NLP)

Formazione

Background in Mathematics/Physics/Natural Sciences or Engineering

Strumenti

Cloud Resources

Visualization Frameworks

Descrizione del lavoro

Join to apply for the Data Scientist role at Euromonitor International

Overview

In Data Science we work with the data from the fast-changing consumer goods world. Data comes from both standardized databases and online retail channels in various forms such as semi-structured text in multiple languages, images, or precise numeric values.

We have already developed 400+ ML models which help identify consumer good attributes our clients are interested in.

We are looking for a new colleague to join the team and assist in developing new and improving existing ML models according to client feedback, and to suggest new ways of looking at the data that could lead to 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 formats

Requirements

• Background in Mathematics/Physics/Natural Sciences or Engineering fields, 2+ years of relevant working experience
• Advanced knowledge of Python/R/SQL, understanding of merge-request git flow, basic scripting including CI/CD, regular expressions, shell 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 documentation 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 techniques, a good understanding of deep-learning techniques and awareness of model and computational complexity

Benefits

• Flexible work time with good work-life balance
• Competitive salary with a wide variety of benefits such as 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.

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 meetups, 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.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Analyst

Industries

• Technology, Information and Internet