Real Chemistry is hiring for an entry level Remote Data Scientist role in US

Position:

• Data Scientist

Company:

• Real Chemistry

Location:

• Remote - USA

Job Type:

• Full-time

Job Mode:

• Remote

Job Requisition ID:

• Not specified

Years of Experience:

• Entry-level; 0-3 years
  

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Company Description:

• Real Chemistry operates at the intersection of healthcare, data, AI, and marketing, with over 2,000 talented professionals.
• For more than two decades, Real Chemistry has partnered with leading pharma and biotech companies to revolutionize healthcare.
• The company believes in transforming healthcare from what it is to what it should be by leveraging creativity, data, and technology.
• With a strong emphasis on collaboration, Real Chemistry unites experts from various disciplines under a single mission.
• Employees are driven by values such as teamwork, innovation, excellence, and adaptability.
• Real Chemistry is known for fostering an inclusive and empowering environment where creativity thrives.
• The organization’s hybrid work model supports both remote and in-office work, promoting flexibility and connection.

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Profile Overview :

• The Data Scientist role is an entry-level position ideal for individuals passionate about data-driven problem-solving.
• The candidate will collaborate within the engineering team to support analytics needs and provide insights for internal stakeholders.
• Responsibilities include data analysis, machine learning prototype development, and supporting subject matter experts in leveraging datasets.
• This position offers opportunities for growth, exposure to advanced technologies, and interdisciplinary teamwork.
• The candidate should have strong communication skills to explain technical concepts to non-technical audiences.
• The role involves working closely with engineers, data scientists, and analysts to build robust systems and solutions.
• Collaboration is critical, and the ability to work remotely using tools like Slack and Teams is essential.
• This position is open to candidates across the U.S., with the option to work from major office locations.

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Qualifications :

Must-Have Skills:

• Bachelor’s or Master’s degree in Computer Science or a STEM-related field.
• Proficiency in Python, including experience with pandas and PySpark for data analysis.
• Strong SQL skills for building and optimizing queries.
• Basic understanding of Natural Language Processing (NLP) and Machine Learning (ML).
• Experience with GitHub for version control.
• Excellent communication skills for collaborating with non-technical stakeholders.

Preferred Skills:

• Familiarity with tools like Databricks, Spark, and MLflow.
• Experience with NLP tools like Spark NLP.
• Knowledge of database design and data visualization.
• Proficiency in software engineering and cloud platforms such as AWS or GCP.

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Additional Info:

• Real Chemistry offers competitive compensation ranging from $73,000 to $80,000 annually.
• The company provides a comprehensive benefits package, including medical, dental, and vision plans.
• Employees can take advantage of a 401k match, flexible PTO, and a sabbatical program after five years.
• Additional perks include student loan contributions, mental wellness coaching, and LinkedIn Learning access.
• Support for family-building journeys includes fertility programs and paid parental leave.
• Real Chemistry's Hybrid and Regional Teams approach encourages employees near offices to collaborate in person while supporting remote work flexibility.
• The company is Great Place to Work® certified, reflecting its strong culture and employee satisfaction.
• Real Chemistry values diversity and encourages applicants from all backgrounds to apply.

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Key Responsibilities:

Collaboration and Communication:

• Leverage tools like Slack, Teams, and email for effective remote collaboration.
• Assist data analysts with Python and Excel-based analytics methodologies.

Data Management:

• Partner with experts to curate, acquire, and analyze datasets.
• Perform exploratory data analysis to uncover insights.

Technical Contributions:

• Work with engineers and architects to maintain internal data systems.
• Research and prototype solutions in data transformation, text analytics, NLP, and ML.

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Cultural Fit:

• Align with company values like adaptability, excellence, and accountability.
• Be a proactive, organized self-starter capable of working under deadlines.

Please click here to apply.

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