Offer summary

Qualifications:

At least 7+ years of experience building complex machine learning models., Proficiency in Python and SQL, with expertise in data analysis and statistical modeling., Experience in the marketing domain, particularly with ad channels like LinkedIn, Facebook, and Google Ads., Strong leadership, communication, and project management skills..

Key responsabilities:

Develop and implement machine learning models to analyze large datasets and extract actionable insights.

Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

Clean, preprocess, and transform data to prepare for analysis and modeling.

Design and evaluate experiments to test hypotheses and improve model performance.

Job description

As a Senior Data Scientist at Metadata.io, you will lead the development and implementation of advanced data analytics solutions aimed at driving actionable insights and optimizing the performance of our autonomous marketing platform. Working closely with our business and product teams, you will analyze key data insights and translate them into integrated product solutions. Your expertise in building machine learning models will be crucial in delivering data-driven insights to our customers.

Key Responsibilities:

Develop and implement Machine Learning models to analyze large datasets and extract actionable insights.
Has a strong product mindset and can collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Clean, preprocess, and transform data to prepare for analysis and modeling.
Explore and analyze complex data sets to identify trends, patterns, and correlations that drive business value.
Design and evaluate experiments to test hypotheses and improve model performance.
Develop predictive models to forecast business metrics.

Qualifications:

At least 7+ years of experience building complex ML models
Marketing domain experiences in ad channels such as LinkedIn, Facebook, and Google Ads. Expertise in Python & SQL
Proficiency in data analysis, machine learning, and statistical modeling.
Demonstrated ability to develop and execute data science strategies that drive business outcomes.
Strong leadership, communication, and project management skills.
You understand supervised machine learning well and are comfortable with both traditional modeling techniques and neural networks.
Your tool chest spans prototyping with Python/Jupyter/SQL & can assist in deploying with Docker.

Benefits:

Competitive salary and performance-based bonuses
Work from Anywhere!
Flexible PTO & Company Holidays
Opportunity to earn equity
Comprehensive benefits package, including health, dental, and retirement plan.
Opportunities for professional development and career growth
A supportive and collaborative work environment

About Metadata

As an employee of the Metadata and an integral part of the greater company team, you will align with and be a champion of our Core Values which are authenticity, transparency, accountability, challenging the status quo, embracing diversity, having a growth mindset all while having fun and putting our people first! Our Core Values are the standards by which we conduct ourselves day in and day out, both internally and externally. We are on a mission to build not only the greatest product but also the best place to work!

Metadata is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. If you're worried that you may not fulfill all the requirements in this job description, we still highly encourage you to submit your application. 🧡

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