Data Scientist

Nextkinlife LLC
United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$87,000.0 - $126,387.0
Working hours
Regular working hours
Job source

Tech stack

C (Programming Language) Java (Programming Language) Artificial Intelligence Amazon Web Services Data Analysis Bash Shell Big Data Cloud Computing Databases Extract Transform Load (ETL) Data Mining Database Design
+19 more
R (Programming Language) Apache Hadoop Data Intelligence Python (Programming Language) Unix Shell Machine Learning Natural Language Processing Tensorflow SAS (Software) SQL Databases Talend Data Storage Technologies Apache Spark Spark Mllib Vba Programming Language Machine Learning Operations Tools for Reporting Looker Analytics Data Pipelines

Job description

Join our innovative team as a Data Scientist and become a driving force behind transforming complex data into actionable insights. In this role, you’ll leverage advanced analytics, machine learning, and AI techniques to solve real-world problems across diverse domains. Your expertise will help shape strategic decisions, optimize processes, and develop cutting-edge models that push the boundaries of data-driven innovation. We are committed to fostering an energetic environment where your skills in big data, natural language processing, and model deployment will thrive, making a tangible impact every day., * Develop and implement machine learning models using frameworks such as TensorFlow, Spark MLlib, and other AI tools to address complex business challenges.

  • Design and optimize scalable ETL pipelines for processing large datasets with tools like Talend, Hadoop, and Bash scripts.
  • Conduct data mining and explore linked data sources to uncover hidden patterns and insights that drive strategic initiatives.
  • Collaborate with cross-functional teams to gather requirements, translate them into technical solutions, and deploy models into production environments.
  • Perform model training, validation, and tuning to ensure high accuracy and robustness for applications in natural language processing and predictive analytics.
  • Design efficient database schemas and perform database design tasks to support analytical workloads using SQL, SAS, or other database technologies.
  • Utilize cloud platforms such as AWS for scalable storage, computing resources, and deploying machine learning solutions seamlessly.

Requirements

  • Proficiency in programming languages including Python, R, Java, C, VBA, and Bash (Unix shell) for data analysis and model development.
  • Strong experience with big data technologies such as Hadoop and Spark for processing large-scale datasets efficiently.
  • Expertise in machine learning frameworks like TensorFlow, SAS Analytics Suite, and other AI tools for developing sophisticated models.
  • Deep understanding of natural language processing techniques to analyze unstructured text data effectively.
  • Hands-on experience with SQL databases along with database design principles for optimized data storage solutions.
  • Knowledge of cloud computing services such as AWS for model deployment and scalable data processing workflows.
  • Familiarity with analytics tools like Looker for visualization and reporting purposes. Embark on a journey where your passion for data science fuels innovation! We’re looking for energetic professionals eager to harness the power of big data, AI, and machine learning frameworks to revolutionize how organizations make decisions. Your expertise will help unlock new opportunities across industries-making a real difference while advancing your career in a dynamic environment dedicated to continuous growth and discovery.

Benefits & conditions

Pulled from the full job description

  • Parental leave
  • Dental insurance
  • Employee assistance program, * Dental insurance
  • Employee assistance program
  • Parental leave

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