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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

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.

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.

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.

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.

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.

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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