Data Scientist

Planet Pharma; New Jersey; Remote; Full time

Job summary

Planet Pharma seeks a Data Science Business Analyst for a 9-month contract, responsible for leveraging data analysis to optimize business processes. This role, which combines technical and project management skills, requires a Master's degree and proficiency in data-related programming languages. Potential applicants should possess strong problem-solving abilities and excellent communication skills to support data-driven decision-making.

Benefits

Medical insurance

Vision insurance

Qualifications

• Proficiency in programming languages like Python, R, SQL.
• Expertise in machine learning algorithms and data visualization tools.
• Understanding of business operations and KPIs.

Responsibilities

• Collect and prepare datasets for analysis.
• Develop statistical models and predictive analytics.
• Analyze business processes for optimization.

Skills

Data Analysis

Machine Learning

Data Visualization

Project Management

Business Process Optimization

Education

Master's degree in Data Science, Statistics, Business Analytics

Job description

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This range is provided by Planet Pharma. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $70.00/hr

Direct message the job poster from Planet Pharma

Location: remote or Branchburg, NJ

Pay: $50 - $70 per hour

Type: 9 month contract to start

Job Description:

A Data Science Business Analyst is a role combining the skills of a data scientist, business process management expertise, and project management capabilities, responsible for extracting actionable insights from data to optimize business processes, leading data-driven projects from conception to implementation while aligning with strategic goals.

Key Responsibilities:

Data Analysis and Modeling:

Collect, clean, and prepare large datasets from diverse sources for analysis.

Develop and implement statistical models, machine learning algorithms, and predictive analytics to identify trends and patterns.

Utilize data visualization techniques to effectively communicate findings to stakeholders.

Business Process Optimization:

Analyze current business processes to identify areas for improvement through data-driven insights.

Design and implement process improvements based on data analysis, including workflow optimization and automation.

Collaborate with cross-functional teams to ensure smooth integration of data-driven solutions into existing processes.

Project Management:

Define project scope, timelines, and deliverables for data-driven initiatives.

Manage project execution, track progress, and identify potential risks.

Lead project teams through the data analysis lifecycle, ensuring timely and quality results.

Required Skills:

Technical Skills:

Proficiency in programming languages like Python, R, SQL for data manipulation and analysis.

Expertise in machine learning algorithms, statistical methods, and data mining techniques

Familiarity with data visualization tools and platforms

Business Acumen:

Understanding of business operations, key performance indicators (KPIs) and OKRs, and strategic goals

Ability to translate data insights into actionable business recommendations

Expertise in lean six sigma and agile ways of working

Strong communication skills to effectively present findings to diverse stakeholders

Project Management Skills:

Proven experience in project planning, execution, and monitoring

Ability to manage multiple projects simultaneously and meet deadlines

Strong stakeholder management and collaboration skills

Education and Experience:

Master's degree in Data Science, Statistics, Business Analytics, or a related field

Proven experience in data analysis, modeling, and visualization

Knowledge of business process management methodologies

Experience in project management, including leading cross-functional teams

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Science

• Industries

  Medical Equipment Manufacturing, Pharmaceutical Manufacturing, and Biotechnology Research

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Inferred from the description for this job

Medical insurance

Vision insurance

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