Data Scientist

Altak Group Inc.; United States; Remote; Full time

Job summary

A leading company is seeking an experienced Data Scientist with expertise in healthcare and proficiency in AI techniques. This fully remote position requires strong analytical skills, proficiency in machine learning, and experience with data-driven solutions. In this role, you will analyze large datasets, build predictive models, and collaborate with teams to propose AI solutions.

Qualifications

• Minimum of 4 years of experience as a Data Scientist, particularly in healthcare.
• Proven experience in machine learning techniques including deep learning and NLP.
• Strong programming skills in Python, R, and familiarity with ML frameworks.

Responsibilities

• Identify valuable data sources and automate collection processes.
• Build predictive models and machine-learning algorithms.
• Optimize models for performance and scalability.

Skills

Data analysis

Machine learning

Natural language processing

Statistics

Predictive modeling

Data visualization

Quantitative problem-solving

Education

Bachelor's or Master's degree in Computer Science

Data Science

Statistics

Tools

Python

R

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

AWS

Job description

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

Base pay range

$55.00/hr - $60.00/hr

Position Overview:

We are seeking an experienced Data Scientist with a strong background in healthcare and proficiency in Artificial Intelligence (AI) techniques for one of our clients. The ideal candidate will have a knack for analysis, math, and statistics, and possess a passion for machine learning, natural language processing, and research. This fully remote role requires significant experience in data science and AI-driven solutions, particularly within the healthcare sector.

Responsibilities:

• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose AI-driven solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Lead the design and development of advanced AI models, including predictive models, natural language processing (NLP), and large language models (LLMs).
• Conduct comprehensive data analysis and model validation to ensure accuracy and reliability.
• Optimize models for performance, efficiency, and scalability.
• Guide data collection processes, ensuring quality and relevance for model training.
• Act as a mentor and technical leader within the team, sharing knowledge and expertise.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 4 years of experience as a Data Scientist, preferably in the healthcare domain.
• Proven experience in data mining and machine learning techniques, including deep learning, NLP, and large language models.
• Strong programming skills in Python, R, or similar languages, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with data science libraries (e.g., Scikit-learn, Pandas, NumPy).
• Exposure to AWS tools such as Lambda, SageMaker, and S3 is a plus.
• Demonstrated ability to work with large datasets and complex data structures.
• Familiarity with AI and machine learning ecosystems and model deployment techniques.

Skills and Abilities:

• Exceptional analytical and quantitative problem-solving skills.
• Strong leadership and project management abilities, capable of leading projects from concept through implementation.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• A passion for continuous learning and staying up to date with the latest trends in AI and machine learning.
• Excellent communication and presentation skills.

Preferred Qualifications:

• Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
• Understanding of operations research principles.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology, Business Development, and General Business

• Industries

  Information Services and Technology, Information and Media

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