Full Time

Entry level Data scientist with sql/pytorch/entry level Java developer /

SynergisticIT
$60,000 - $85,000* / year (about $29–$41 an hour)

Job Description

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Written by AI from the job title and company, not by SynergisticIT, so some details may not match this job. The employer's own page has the real description.

Job Overview

SynergisticIT is seeking an Entry-Level Data Scientist with proficiencies in SQL and PyTorch, coupled with foundational knowledge in Java development. The successful candidate will participate in analyzing data to provide actionable insights and contribute to the development of data-driven solutions. They will also collaborate with cross-functional teams to enhance data models and improve application performance, fostering a fast-paced learning environment that promotes professional growth and encourages skill advancement in both data science and software development.



Job Responsibilities

  • Collect, clean, and preprocess data from various sources for analysis.
  • Utilize SQL for efficient data extraction and manipulation.
  • Develop machine learning models using PyTorch, tuning algorithms to optimize performance.
  • Assist in the development and maintenance of company applications through Java programming.
  • Collaborate with data engineers and analysts to understand data needs and deliver products accordingly.
  • Prepare comprehensive documentation of data processes and methodologies.
  • Participate in regular team meetings to update progress and brainstorm solutions.


Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • Familiarity with SQL for database querying and management.
  • Basic knowledge of PyTorch or similar machine learning frameworks.
  • Entry-level understanding of Java programming language.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Excellent verbal and written communication skills.
  • Ability to work collaboratively in a team-oriented environment.


Technologies & Tools

This position primarily utilizes technologies such as SQL for database management and querying, PyTorch for machine learning model development, and Java for application programming. Familiarity with tools like Jupyter Notebooks, Git for version control, and data visualization software is beneficial for enhancing project delivery and teamwork.



Ideal Candidates

The ideal candidates for this position will exhibit strong problem-solving abilities, an eagerness to learn, and adaptability in a dynamic work environment. They should possess a solid foundational knowledge in data science concepts and software development principles, demonstrating an ability to apply theoretical knowledge practically. Candidates should also have a collaborative mindset, comfortable communicating with team members and stakeholders, driving initiatives forward while being receptive to feedback and new ideas.

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