Monks
SemiSeniorDataScientist
“Semi Senior Data Scientist at Monks. Skills: Statistical modeling, Machine learning, Data engineering, Cloud platforms. Nurture client understanding. Build & test data-driven strategies”
What You'll Achieve.
Increase customer experiences; Optimize customer experiences; Increase revenue generation; Optimize revenue generation; Increase ad targeting; Optimize ad targeting; Drive data-driven decision making
Industry & Context.
Solving business problems through data; Statistical modeling; Machine learning; Forecasting; Classification; Optimization; Data mining; Evaluating options
What They're Looking For.
Must Have
Computer Systems, Mathematics, Statistics or Physics, Proven experience articulating, translating, and solving business problems through data, Work experience in cloud vendors (GCP, AWS, Azure), 2+ years of experience in data science (statistical modeling, machine learning for forecasting, classification and optimization), Experience analyzing large data sets with the Python or R data ecosystem, Experience using large databases (SQL, Snowflake, BigQuery or similar), Experience using Power BI, Tableau, Looker, or similar, Experience leveraging digital analytics (Google/Adobe Analytics) and measurement solutions data in the digital advertising industry, Advanced English communication skills
Nice to Have
A set of certifications or work experience in another cloud vendor (GCP, AWS, Azure), Hands-on experience in model deployment, governance, and workflow optimization (MLOps), Hands-on experience with cloud orchestration tooling, infrastructure-as-a-code, Hands-on experience building scalable ETL pipelines (Apache Beam, Airflow, Cloud Composer, Cloud Functions, Pub/Sub), Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making
What You'll Do.
Nurture client understanding
Build & test data-driven strategies
Use predictive modeling
Optimize customer experiences
Optimize revenue generation
Optimize ad targeting
Quantify influence of online activities
Deploy cloud resources
Perform analysis on large data sets
Utilize data visualization techniques
Explain data and models
Support analytical projects
Support development of information models
Design and manage experiments
Act as consultative resource
Help clients understand quality of internal testing processes
How You'll Work.
Team & Collaboration
Working closely with Analytics teams; Working closely with Solutions Engineering teams; Explain data and models to clients; Explain data and models to internal teams
Communication Scope
Advanced English communication skills; Ability to explain analytical methods; Ability to explain results to non-technical stakeholders
Process & Methodology
Project definition, Tasks planning, Estimation
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