Data Scientist (Mid-Senior)
In this role, you’ll enhance our data science capabilities, solving complex business problems through advanced analytics and predictive modeling.
Key Responsibilities:
- Collaborate with stakeholders to define and analyze business challenges.
- Explore and visualize data to generate insights.
- Develop and deploy predictive models using statistical techniques and machine learning.
- Communicate findings to support business decisions.
- Assist in implementing insights and ensure they deliver value.
- Promote best practices in data science across teams.
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, or related field.
- 4+ years of experience in data science and predictive modeling.
- Proficient in R, Python, SAS, or similar tools.
- Experience with big data environments (AWS, Azure, GCP preferred) and frameworks (Hadoop, Spark).
- Strong communication skills and a proven track record of solving business problems with analytics.
Key Responsibilities:
- Utilize expertise in Mathematics, Econometrics, Finance, Statistics, Data Science, ML, and AI to drive strategic decisions in pricing and portfolio management.
- Implement strong forecasting and time series analysis to enhance the performance of digital advertising assets.
- Demonstrate a deep understanding of ML Ops for effective model deployment and management.
- Create executive content through compelling storytelling, utilizing an eye for detail.
- Utilize agile project management methodologies to navigate a fast-paced and ambiguous environment.
- Collaborate with cross-functional teams to ensure successful execution of data-driven strategies.
Requirements:
- Strong forecasting and time series knowledge.
- Proficiency in ML Ops understanding for efficient model deployment.
- Excellent storytelling skills with the ability to create executive-level content.
- Experience in agile project management in a fast-paced environment.
- Technical proficiency in SQL, Python, Google Cloud, Tableau, and Jira.