Full Time

Junior Data Scientist/Analyst/Engineer - Remote

SynergisticIT
Remote!
$60,000 - $80,000* / year (about $29–$38 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.

Overview

SynergisticIT is seeking a motivated Junior Data Scientist/Analyst/Engineer to join our dynamic team in a remote capacity. The successful candidate will be engaged in data collection, analysis, and interpretation to support the development of actionable insights that drive business strategy. This role involves working with diverse datasets, utilizing analytical methods, and collaborating with team members on projects that enhance our data capabilities and business performance.



Job Responsibilities

  • Collect, clean, and prepare data for analysis from various sources.
  • Conduct exploratory data analysis to uncover trends and insights.
  • Develop and implement statistical models and algorithms to forecast outcomes.
  • Visualize data using dashboards and reports to present findings to team members.
  • Collaborate with cross-functional teams to understand their data needs and provide insights accordingly.
  • Assist in the maintenance and improvement of data systems and infrastructure.
  • Support the Data Science team in developing best practices for data management and analytics.


Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
  • Experience with data analysis tools such as Python, R, or SQL.
  • Familiarity with data visualization tools like Tableau or Power BI.
  • Basic understanding of machine learning principles and algorithms.
  • Strong analytical skills with the ability to interpret complex datasets.
  • Excellent communication skills to present findings effectively.
  • Ability to work independently and as part of a team in a remote environment.


Technologies & Tools

The Junior Data Scientist/Analyst/Engineer role at SynergisticIT involves the use of various technologies and tools including Python, R, SQL, Tableau, and Power BI. Familiarity with machine learning libraries such as Scikit-learn and TensorFlow is advantageous. Additionally, knowledge of cloud platforms like AWS or Google Cloud for data storage and processing would be beneficial.



Ideal Candidates

The ideal candidate for the Junior Data Scientist/Analyst/Engineer position should possess a passion for data and a strong analytical mindset. They should demonstrate proactive problem-solving skills, attention to detail, and the ability to work cohesively in a remote environment, communicating effectively with team members across various functions. Curiosity and a commitment to continuous learning will greatly contribute to their success in this evolving field.

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