Data Scientist — ML & Impact at Global Scale

TRUE SOFTWARE SCANDINAVIA AB; Stockholms kommun; Hybrid; SEK 900,000 - 1,300,000; Full time

Benefits offered by this job

Private health insurance

30 days vacation

Pension scheme

Wellness contributions

Lab Days and team events

Job summary

Truecaller seeks a Data Scientist to lead high-impact initiatives at the intersection of data science, product, and engineering. You will apply ML and statistics to real-world problems, collaborating with stakeholders to deliver data products at scale.

Bring 5+ years of experience, strong Python/SQL skills, and the ability to productionize models while mentoring others in a collaborative, growth-minded environment.

Qualifications

• Bachelor's or Master’s degree in Data Science, ML, CS, Statistics or related field.
• 5+ years of experience applying data science/ML to real-world problems.
• Strong Python and SQL programming skills; solid tooling experience.
• Excellent communication to present insights to non-technical stakeholders.
• Ability to own and drive data science projects to production.

Responsibilities

• Lead high-impact data science initiatives intersecting product and engineering.
• Collaborate with stakeholders to deliver data science products at scale.
• Coach and mentor junior to senior data scientists to improve skills.
• Explore problem spaces and design data solutions that improve customer experience.
• Plan and coordinate data science work with a collaborative mindset.

Skills

Data science

Python

SQL

Communication

Problem-solving

Stakeholder engagement

Production ML

Education

Bachelor's or Master's in Data Science/CS/Stats

Tools

BigQuery

Looker/BI tools

Tableau/Power BI

Job description

Truecaller seeks a Data Scientist to lead high-impact initiatives at the intersection of data science, product, and engineering. You will apply ML and statistics to real-world problems, collaborating with stakeholders to deliver data products at scale.

Bring 5+ years of experience, strong Python/SQL skills, and the ability to productionize models while mentoring others in a collaborative, growth-minded environment.