Growth Data Scientist: Drive Campaign Performance

Smadex S.L.U.; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Travel opportunities

Job summary

Smadex S.L.U. in Austin, TX is seeking a Growth Data Scientist to analyze large-scale datasets and drive data-informed strategies for campaign performance. You will work with cross-functional teams to translate insights into actionable roadmap items and test rigorously to maximize impact.

Ideal candidates have 3+ years in data analytics/science, strong Python/SQL skills, and a solid grounding in statistics. This is a full-time, on-site role with competitive compensation and benefits in the U.S.

Qualifications

• 3+ years of experience as a Data Analyst or Data Scientist.
• Bachelor's or Master's Degree in a quantitative field (Engineering, Statistics, Mathematics, Data Sciences).
• Strong problem-solving skills and ability to formulate questions and run analyses.
• Proven working knowledge of Python, SQL and large data sets; understanding analytic methodologies.
• Excellent verbal and written communication skills; ability to present analysis and conclusions.
• Strong knowledge of statistical concepts and hypothesis testing.

Responsibilities

• Dive deep into complex datasets covering millions of users and apps to extract actionable learnings for strategy and stakeholders.
• Partner with business and technical teams to drive rigorous analysis and testing to maximize campaign performance and effectiveness.
• Collaborate with stakeholders to translate market insights and performance data into product and ML roadmap.”],
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Skills

Python

SQL

Data Analysis

Statistics

Education

Bachelor's or Master's in a Quantitative Field

Job description

Smadex S.L.U. in Austin, TX is seeking a Growth Data Scientist to analyze large-scale datasets and drive data-informed strategies for campaign performance. You will work with cross-functional teams to translate insights into actionable roadmap items and test rigorously to maximize impact.

Ideal candidates have 3+ years in data analytics/science, strong Python/SQL skills, and a solid grounding in statistics. This is a full-time, on-site role with competitive compensation and benefits in the U.S.