Pharma Regulatory framework Solution Architect

TechDigital Group; Raritan (NJ); On-site; USD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to transform unstructured big data into actionable insights. This pivotal role involves utilizing advanced machine learning algorithms and innovative data models to enhance client service delivery and optimize products. The ideal candidate will leverage tools like TensorFlow and PyTorch, alongside programming skills in Python and SQL, to analyze large datasets and provide strategic recommendations. Join a dynamic team where your expertise will drive data-driven decision-making and contribute to operational efficiency. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• Strong knowledge of machine learning algorithms and data analytics techniques.
• Proficient in Python and SQL for data manipulation and analysis.

Responsibilities

• Design and implement machine learning algorithms to extract insights from data.
• Analyze large datasets to identify trends and provide actionable recommendations.

Skills

Machine Learning

TensorFlow

PyTorch

Python

SQL

Data Analytics

Collaboration Skills

Communication Skills

Education

Bachelor's Degree in Data Science or related field

Tools

Data Visualization Tools

Job description

The Senior Data Scientist plays a crucial role in transforming unstructured big data into actionable insights through advanced algorithms and innovative data models. This position is essential for developing strategies that enhance client service delivery and product optimization, using cutting-edge machine learning tools and techniques to drive data-driven decision-making within the organization.

Key Responsibilities

1. Design and implement advanced machine learning algorithms using TensorFlow and PyTorch to extract insights from large datasets, delivering customized analytical reports tailored to the needs of colleagues, clients, and stakeholders.
2. Leverage Python and SQL to develop and optimize data models that address specific organizational challenges, ensuring effective integration and management of data.
3. Analyze and mine large datasets to identify trends and patterns, utilizing advanced analytics techniques to interpret findings and provide actionable recommendations based on experimental results.
4. Collaborate with cross-functional teams to identify opportunities for utilizing data insights to formulate strategic business solutions that enhance operational efficiency and product offerings.
5. Create comprehensive visualizations and reports using data visualization tools to communicate complex analysis and results clearly, enabling informed decision-making for customers and stakeholders.

Skill Requirements

1. Strong knowledge of machine learning principles and algorithms using TensorFlow and PyTorch.
2. Proficient in programming languages such as Python for data analysis and model development.
3. Solid understanding of SQL for data manipulation and querying large databases.
4. In-depth experience with data analytics techniques and tools for interpreting complex datasets.
5. Excellent collaboration and communication skills to work with diverse teams and stakeholders.

Certification

1. Optional but valuable certifications: Certified Data Scientist (CDS), TensorFlow Developer Certificate, or Professional Data Engineer Certification.