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Job ID : 36773

Location : Dallas, TX

Company Name : Netbounce Placements

Job Type : Full-Time

Industry : Information Technology

Salary : $95000 - $120000  per hour

No. of Positions : I have ongoing need to fill this role


Required Skills : Statistical Analysis: Proficiency in statistical methods and techniques is fundamental for analyzing complex datasets, drawing insights, and making data-driven decisions. Machine Learning: Knowledge of machine learning algorithms and techniques is crucia.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

We are seeking a motivated and skilled Data Scientist to join our dynamic team. This position is suitable for recent graduates (graduated between December 2023 and May 2024) or individuals with up to 4 years of professional experience in the field of data science. As a Data Scientist at our company, you will have the opportunity to work on exciting projects, leveraging data to drive actionable insights and contribute to our business goals.

Key Responsibilities:

  • Conduct exploratory data analysis to identify trends, patterns, and relationships in complex datasets.
  • Develop and implement machine learning models for predictive analytics, classification, and clustering.
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Clean, preprocess, and transform raw data to ensure accuracy, completeness, and usability.
  • Create insightful data visualizations and reports to communicate findings and recommendations effectively.
  • Utilize statistical techniques and methodologies to analyze experiments and optimize business processes.
  • Stay updated with the latest trends and advancements in data science and apply them to improve existing methodologies.

Required Skills and Qualifications:

  • Master's degree in Computer Science, Information Technology or a related field (graduated between December 2023 and May 2024).
  • Strong programming skills in languages such as Python, R, or SQL.
  • Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with data manipulation, cleaning, and preprocessing techniques.
  • Proficiency in data visualization tools like Tableau, Matplotlib, or Plotly.
  • Solid understanding of statistical methods and hypothesis testing.
  • Excellent problem-solving and analytical abilities.
  • Good communication skills with the ability to present complex information to both technical and non-technical audiences.
  • Ability to work independently and collaborate effectively within a team environment.

Preferred Qualifications (but not required):

  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of cloud platforms (e.g., AWS, Google Cloud) for data storage and processing.
  • Previous internship or project experience in data analysis or machine learning.
  • Familiarity with natural language processing (NLP) techniques is a plus.

Application Eligibility:

  • Recent graduates who completed their degree between December 2023 and May 2024 are eligible to apply.
  • Candidates with up to 4 years of relevant work experience in data science or related fields are encouraged to apply.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity for professional growth and career development.
  • Collaborative and innovative work environment.
  • Flexible work arrangements (remote work options may be available).

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