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Sandhills Global is hiring for an entry level Data Scientist role in US



Position:

  • Data Scientist

Company:

  • Sandhills Global

Location:

  • Lincoln, Nebraska, United States

Job Type:

  • Full-time

Job Mode:

  • Onsite (Daily commute to the local office required)

Job Requisition ID:

  • Not specified

Years of Experience:

  • Entry level

Company Description:

  • Established Legacy:

    • Founded in 1978, Sandhills Global has built a strong presence in various industries by offering specialized products and services.
    • The company’s expertise spans multiple sectors, including trucking, agriculture, construction, heavy machinery, aviation, and technology.
  • Wide Range of Offerings:

    • Sandhills Global provides industry-leading trade publications, innovative websites, and customized hosted technology services.
    • Their offerings have been tailored to meet the ever-changing needs of their clients.
  • Headquarters and Facilities:

    • The company's headquarters are located in Lincoln, Nebraska, where it operates a state-of-the-art data center, along with on-site printing and bindery facilities.
    • Additionally, a geographically redundant data center in Scottsdale, Arizona, ensures business continuity and reliability.
  • Global Presence:

    • Sandhills Global maintains international offices, extending its reach to global markets.
    • Their consistent investment in advanced technologies has established Sandhills Global as a leader in the industries they serve.
  • Career Growth and Opportunities:

    • Sandhills Global offers numerous career opportunities for highly motivated individuals with strong communication skills and a results-driven approach.
    • Employees are encouraged to excel in a collaborative and innovative work environment.
  • Commitment to Excellence:

    • The company fosters an open and professional work culture that emphasizes individual responsibility.
    • Career paths at Sandhills Global are designed to encourage personal growth and continuous learning.

Profile Overview:

  • Role Overview:

    • The Data Scientist will play a critical role in analyzing data from current and future products and services.
    • This involves developing statistical and machine learning models utilizing cutting-edge technologies in Artificial Intelligence (AI) and Machine Learning (ML).
  • Primary Responsibilities:

    • Analyze data collected from various products and services to identify actionable insights.
    • Develop and implement advanced machine learning and AI models to improve the efficiency of Sandhills’ offerings.
    • Collaborate with software developers to integrate these models into products and services.
  • Insights and Visualization:

    • The role involves visualizing insights in a manner that can drive business decisions and enhance customer experience.
    • Understanding market trends and applying this knowledge to Sandhills’ products is a key aspect of the role.
  • Communication and Collaboration:

    • Strong communication and organizational skills are essential for collaborating across departments.
    • The Data Scientist must maintain awareness of operational priorities and align their work with the company’s goals.
  • Adaptability and Growth:

    • The role requires the ability to assume additional responsibilities as assigned.
    • A flexible mindset and readiness to adapt to changing business needs are highly valued in this position.

Qualifications:

  • Educational Requirements:

    • Bachelor’s or Master’s degree preferred in one of the following fields:
      • Data Science
      • Mathematics
      • Statistics
      • Other quantitative disciplines
  • Technical Expertise:

    • Strong proficiency in Python or R, including relevant libraries and packages.
    • Familiarity with SQL, stored procedures, and APIs is advantageous.
    • Understanding of data models, database design, and data mining techniques.
    • General knowledge of machine learning and AI frameworks and tools.
    • Experience with data management tools, such as:
      • Docker
      • Jenkins
      • Spark
  • Analytical and Statistical Skills:

    • Strong analytical abilities to process, organize, and analyze large datasets.
    • Proficiency in statistical analysis using appropriate packages and tools.
    • Attention to detail and a high level of accuracy in data interpretation.
  • Communication and Presentation:

    • Excellent oral and written communication skills.
    • Ability to generate comprehensive reports and present findings in an understandable format.
  • Work Ethics and Adaptability:

    • Ability to work independently while effectively collaborating within a team environment.
    • Results-oriented mindset with a professional demeanor.
    • Flexible and open to change with a stable and progressive work history.
  • Additional Requirements:

    • Valid driver’s license with the ability to travel by air and ground when required.
    • Commitment to maintaining a professional appearance and demeanor.
    • In-office position requiring daily commuting to the local office.

Additional Info:

  • Work Schedule and Flexibility:

    • Sandhills Global offers a 4.5-day regular workweek, providing a healthy balance between professional and personal life.
    • The in-office requirement ensures close collaboration with teams and access to company resources.
  • Professional Growth and Development:

    • Employees are encouraged to explore various opportunities for learning and growth.
    • Sandhills Global’s emphasis on professional development ensures that employees remain at the forefront of technological advancements.
  • Technology and Innovation:

    • The company continuously invests in cutting-edge technologies, allowing employees to work with state-of-the-art tools and platforms.
    • Opportunities to engage in innovative projects ensure that employees stay challenged and motivated.
  • Corporate Culture:

    • Sandhills Global promotes an open work environment that values teamwork, innovation, and a results-driven approach.
    • The company’s commitment to maintaining a collaborative and respectful workplace fosters professional growth.
  • Employee Benefits and Perks:

    • Employees benefit from a supportive and inclusive work environment.
    • Sandhills Global provides access to valuable resources and career advancement opportunities.

Detailed Role Responsibilities:

Data Analysis and Model Development:

  • Data Collection and Exploration:

    • Analyze data generated from Sandhills’ existing and future products and services.
    • Identify patterns and trends that can enhance business processes and improve customer experience.
  • Model Development and Implementation:

    • Design and develop statistical models using Python, R, and other relevant tools.
    • Leverage AI and machine learning techniques to optimize business solutions.
    • Collaborate with developers to seamlessly integrate models into company products.
  • Insight Generation and Visualization:

    • Generate actionable insights by interpreting complex datasets.
    • Visualize findings in a manner that supports data-driven business decisions.

Business Collaboration and Communication:

  • Cross-Team Collaboration:

    • Work closely with software developers, business analysts, and other departments.
    • Ensure that data insights are effectively utilized in product and service enhancements.
  • Communication of Findings:

    • Present data analysis findings to key stakeholders in a clear and concise manner.
    • Provide detailed reports that facilitate informed decision-making.

Continuous Learning and Industry Expertise:

  • Staying Updated with Industry Trends:

    • Maintain a working knowledge of advancements in data science, machine learning, and AI.
    • Gain expertise in Sandhills’ market sectors, including auction and heavy equipment industries.
  • Upskilling and Professional Growth:

    • Pursue ongoing learning opportunities to stay current with emerging technologies.
    • Apply acquired knowledge to drive innovation and business growth.

Key Competencies and Behavioral Attributes:

Technical and Analytical Skills:

  • Advanced Analytical Thinking:

    • Strong ability to interpret data, identify trends, and derive actionable insights.
    • Proficiency in statistical analysis and model development.
  • Attention to Detail:

    • Ability to maintain accuracy and precision in data interpretation and model deployment.
    • Thorough understanding of data governance and quality standards.

Communication and Teamwork:

  • Effective Communication:

    • Strong verbal and written communication skills to articulate complex findings.
    • Ability to tailor communication to both technical and non-technical audiences.
  • Team Collaboration:

    • Strong ability to collaborate with cross-functional teams and align efforts with company goals.
    • Willingness to contribute to a team environment that values open communication and shared success.

Adaptability and Problem-Solving:

  • Flexible Mindset:

    • Openness to change and ability to adapt to evolving business needs.
    • Ability to assume new responsibilities and handle dynamic challenges.
  • Critical Problem-Solving Skills:

    • Analytical mindset to troubleshoot issues and propose effective solutions.
    • Proactive approach to identifying potential improvements in processes and systems.

Application Process and Considerations:

  • Application Guidance:

    • Candidates should ensure their resumes reflect relevant skills and experiences.
    • Strong emphasis is placed on demonstrating a results-driven approach and a professional demeanor.
  • Commitment to Excellence:

    • Sandhills Global seeks candidates who align with the company’s core values and vision.
    • Applicants should exhibit a desire to contribute meaningfully to the company’s growth and success.
  • Next Steps:

    • Explore current job opportunities by visiting Sandhills Global Careers.
    • Applications are reviewed to identify candidates whose profiles align with the role’s requirements.

Please click here to apply.


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