Most in-demand jobs to consider: Data scientist

Most in-demand jobs to consider

Job Title: Data scientist

Sector & Industry: Tech, Finance, Various
Context and relevance: Data science is pivotal across numerous sectors including technology, healthcare, finance, retail, and e∙commerce. In the context of the US, data scientists play a crucial role in driving data∙driven decision∙making, which is essential for maintaining competitive advantage and innovation.

Salary Range: US Salary Range: Provide applicable figures: According to data from Glassdoor as of early 2023, the typical salary range for a data scientist in the United States is between $85,000 and $130,000, with variations depending on experience, location, and industry.

Keywords:
Relevant terms: Big Data, Predictive Analytics, Machine Learning, Data Mining, Data Visualization, Statistical Modeling, Python, R, SQL.

Responsibilities:
Main duties:
• Collecting large sets of structured and unstructured data from disparate sources.
• Cleaning and validating the data to ensure accuracy, completeness, and uniformity.
• Devising and applying models and algorithms to mine the stored data.
• Analyzing data to identify patterns and trends.
• Interpreting data to discover solutions and opportunities.
• Communicating findings to stakeholders using visualization and other means.
• Collaborating with engineering and product development teams.
• Keeping abreast of the latest technology trends in data science and machine learning.

Skills & Qualifications:
List necessary competencies:
• Degree in Computer Science, Statistics, Applied Mathematics or related field.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
• Experience with common data science toolkits such as Python, R, SQL, MATLAB, etc.
• Knowledge of machine learning techniques and algorithms.
• Experience with data visualization tools.
• Strong problem∙solving skills and analytical thinking.

Primary Jobs to be done

Key Skills & Qualifications

Ideal Personality Traits

Typical Work Context

Personal Traits:
Desirable attributes:
• Strong analytical and quantitative skills.
• Intellectual curiosity and a passion for data.
• Excellent communication and presentation skills.
• Detail∙oriented with an aptitude for solving unstructured problems.
• High degree of initiative and results∙driven approach.

Work Focus:
People, Product, Process (3Ps) relevance:
• People: Collaborating with various teams and explaining complex data to non∙experts.
• Product: Enhancing products or services through data insights.
• Process: Improving the data collection and analysis processes.

RESUME PLUS TRAITS TO LOOK FOR WHEN HIRING

RESUME PLUS

Core Competency

Core Competency & Score:
Crucial competency and percentage: Analytical Thinking • 90%. Analytics is at the core of the data scientist's role, interpreting and turning data into actionable insights.

Work Context

Primary 3P & Score:
Key 3P focus and ideal percentage: Process • 70%. A data scientist’s primary focus is often on improving and building analytical processes.

Ideal Personality Attribute

Essential Big 5 Trait & Score:
Most critical trait and ideal percentage: Openness to Experience • 85%. A high level of openness is essential for creativity and the ability to understand complex systems.

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