Data manipulation libraries – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Tue, 22 Oct 2024 09:30:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Data manipulation libraries – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Data Scientist (The Data Whisperer) https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-scientist-the-data-whisperer-2/ Tue, 22 Oct 2024 09:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-scientist-the-data-whisperer-2/ Data Scientist (The Data Whisperer)

Job Description:

    Are you a passionate data enthusiast eager to explore vast datasets? Do you find excitement in transforming raw data into actionable insights that drive essential business decisions? If you have a knack for developing predictive models and tackling complex data-related problems, then this role is an ideal fit for you. We are in search of a Data Scientist, affectionately known as The Data Whisperer, who will delve deep into data to extract valuable insights and create advanced models that contribute significant business value. In this role, you will collaborate with a talented ensemble of data engineers and product managers, employing machine learning, statistical analysis, and data visualization techniques to deliver insights that guide product development, marketing strategies, and operational efficiency. Your contributions will be instrumental in shaping the company's future direction, enhancing decision-making processes, and fostering innovation.

IT Languages:

  • Python
  • R
  • SQL

As a Data Scientist, you will take on a variety of responsibilities that will allow you to apply your expertise and contribute to the team’s success.:

    Collect, clean, and analyze large datasets to uncover trends, patterns, and anomalies;; Develop and deploy predictive models to address business challenges such as customer segmentation and demand forecasting;; Create compelling data visualizations and dashboards to clearly communicate insights;; Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions;; Design and conduct A/B tests to optimize product features and marketing campaigns;; Work with data engineers to build and optimize data pipelines for efficient data processing;; Stay updated with the latest trends in data science, machine learning, and AI

Spoken Languages:

  • English

Skillset:

  • Statistical analysis
  • Machine learning algorithms
  • Data modeling techniques
  • Data visualization tools
  • Programming languages
  • Data manipulation libraries

Soft Skills:

  • Analytical thinking
  • Attention to detail
  • Problem-solving
  • Collaboration
  • Effective communication

Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field
  • Equivalent experience in data science or machine learning is also highly valued
  • Certifications or additional coursework in data science, AI, or machine learning are a plus

Years of Experience:

    3

Location:

    United States

Job Benefits:

  • Comprehensive medical, dental, and vision insurance
  • Competitive vacation and sick leave
  • Flexible work schedules and telecommuting options
  • Training and certification reimbursement
  • Access to wellness programs
  • Life and disability insurance
  • Employee assistance program
  • Tuition reimbursement
  • Community service opportunities
  • Employee recognition programs

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • The company fosters a collaborative and innovative environment where data-driven decision-making is highly valued. Employees are encouraged to stay current with industry trends and are provided with opportunities for professional growth and community engagement.

Opportunities For Advancement:

  • Career advancement programs, Professional development opportunities, Certification reimbursement

Visa Sponsorship:

    Not Available
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