ML Data Scientist Business Analytics
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Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
10 days ago
Vacancies:
1 Vacancy
Job Summary
Responsibilities include turning the huge amounts of data generated by user searches app content and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. Dig in and get into the details. The theory behind the techniques are just the beginning. Work on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. Were looking for an inquisitive collaborative and passionate person to join this amazing Product Engineering and the Executive Team with analyses and data products to improve product performance deepen customer insight and deliver business impact.
- 3 years of recent experience in a data science role.
- Experience in statistical analysis machine learning models and advanced quantitative methods with a strong focus in causal inference. Must include experience with regression classification clustering time-series analysis and LLMs.
- Exceptional programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools and libraries such as Pandas R Spark and Tableau.
- Deep familiarity with commonly used Statistics and ML libraries such as ScikitLearn SparkMLLib SciPy and/or StatsModels.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- Comfortable with a variety of data stores such as Hadoop and Snowflake familiar with distributed analytics engines such as Spark/PySpark.
- Posses exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
- Demonstrated ability to partner with engineering meet the data needs of the business finding creative analytical solutions and develop initial prototypes to address complex business problems.
- Demonstrated ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
- Bachelors degree in a related field of study or equivalent industry experience.
- Experience in the mobile advertising industry or related field.
- Familiarity of Causal Inference packages such as CausalImpact DoubleML DoWhy and EconML.
- Familiarity with job orchestration frameworks such as Airflow.
- Demonstrated ability to build visualizations dashboards and enable broader consumption of insights and tools for investigations.
Key Skills
- Cyber Security
- Business Administration
- LTE
- Content Management
- Archicad
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
