Data Scientist
hace 6 días
Empresa Reconocida is currently recruiting for a Data Scientist - Commercial Analytics position in Raritan, NJ. At Empresa Reconocida, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.empresareconocida.com/.
The estimated salary for this position is $130,000-$170,000 per year.
**Job Description:**
Design, develop, and deliver impactful data science projects delivering insights and analytics that shape commercial development of our clinical-stage pipeline. Working with the Senior Director, Global Data Science, Oncology and in close partnership with Global Commercial Strategy Organization (GCSO) partner teams, you will use your deep technical expertise and pharmaceutical industry knowledge to advance the application of leading data science analytical methodologies to domain-specific data assets to drive insights and decisions that optimize the patient benefit and commercial value of the pharmaceutical pipeline.
**Key Responsibilities:**
- Evaluate available and potential data sources
- Drive data strategy to strengthen our analytics
- Evaluate and develop end-to-end solutions
- Lead and implement specific data science projects by applying creative approaches and innovative algorithms within commercial analytics
- Advance data-driven decision-making and data science practice across GCSO
We are seeking a highly skilled and experienced Data Scientist - Commercial Analytics to join our team. As a key member of our data science team, you will be responsible for designing, developing, and delivering impactful data science projects that drive business value and inform commercial strategies. You will work closely with cross-functional teams to identify business needs and develop data-driven solutions that meet those needs.
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