Data ScientistJob Description, Salary, Career Path, and Trends
Data scientists study and solve complex problems using data in myriad industries. They formulate and design new approaches to technology and information systems.
Sample job description #1
Our Data Science team is experimenting, testing, and driving major insights that impact a global network of clients. Excited? Come join us!
The Panel Analytics team builds and maintains a series of dashboards and analytical reports containing key performance metrics of the company’s Television Panel. We collaborate with other teams and determine what data and analytics can be used to best evaluate our methodology. This team is at the forefront of data science technology, exploring the best ways to build and automate pipelines, incorporate cyber security principles, and create powerful visualizations to illuminate and drive business decisions.
Learn and become an expert in the company’s Television Panel, with a focus on analyzing impacts to methodology and building, maintaining, and evolving dashboards to meet the ever changing landscape of media consumers
Responsible for research and analytics work to ensure our products and methodologies are working as expected in addition to exploring enhancements
Utilize tools such as Python, R, Tableau, and Spark to run analyses and create visualizations Analyze data, summarize results, and present research findings to audiences of varying levels of experience
Automate processes for recurring analyses, focusing on efficiency
Proactively identify data issues and trace the end-to-end process to determine the root cause
Identify gaps in current methodology and/or functionality and work with cross-functional teams to recommend and implement necessary fixes or future enhancements
Collaborating with methodology teams to drive end to end insights and own feedback circles for continuous improvement
Create clear documentation/presentation that explains ongoing trends in our Television panel
Address client and stakeholder questions in a timely manner
Is this the job for you
Data Scientist with a degree in business analytics, mathematics, statistics, computer science, or a related field and 0-2 years of experience with the following:
Producing data-driven insights Data Visualization experience, preferably via BI tools such as Tableau
Project management including working collaboratively across multiple teams
Summarizing insights and presenting research findings, often in the form of a compelling story
Coding in Python
Coding in SQL and/or Spark
Ability to communicate complex concepts to both technical and non-technical audiences
Sample job description #2
In the data scientist role, you’ll join a product team and be a part of driving the vision, strategy, and process that enables the company’s Legal Plans to develop a best-in-class product and achieve its strategic growth plan.
You will be responsible for gathering, organizing and analyzing large and complex data sets and informing data-driven decision-making to improve our business. You will design, develop, and maintain customized reports using Tableau and other tools. You will also hunt for answers to complex business questions and proactively identify business drivers, insights, trends, problems, and opportunities. Further, you will assist the product team with financial guidance and effectively communicate with both technical and non-technical audiences at all levels.
Enhance data collection procedures by bringing together all relevant information
Process, cleanse, and validate the integrity of data to be used for analysis
Build models and analyze data to find insights and patterns
Design compelling visualizations, dashboards, reports, and presentations
Propose solutions and strategies to tackle business challenges
Track and assess financials for new and existing features
Perform ad hoc analysis and research for stakeholders
Assist project teams with financial guidance
Required essential business experience and technical skill
Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
At least 5 years of experience in a data science or data analyst-related role
Proven experience in Tableau
Proficiency in handling imperfect and complex data
Strong business acumen
Intellectual curiosity and drive
Ability to proactively and continuously identify insight and trends
Excellent communication, interpersonal, and presentation skills
Detail-oriented and able to perform in a high-pressure environment
Strong analytical thinking and problem-solving skills
Proficiency in Microsoft Office and SAP, Oracle, or related financial systems
Sample job description #3
The Data Scientist position is for a curious and divergent thinker and is responsible for applying statistical, mathematic, and computational models to diverse sets of data to solve new problems and identify breakthrough opportunities. The role works to better understand consumer behavior, product assortment trends, channel purchase patterns, media, and marketing impacts to help shape the company’s strategy and execution. The Data Scientist is a key role on our Analytics and Insights team, which is part of our growing Digital organization.
Explores data to find breakthroughs
Deciphers what’s interesting and what’s important
Collaborates across diverse teams to launch analytics-based initiatives that improve consumer experience and lifetime value
Builds data science models for high priority use cases across the enterprise that help shape strategic decisions and future actions
Applies core analytical and statistical methods, including regression, segmentation and clustering, predictive modeling, time-series analysis, and machine learning techniques
Conducts iterative experiments and simulations to understand the probability of outcomes, and interprets the results into impactful conclusions
Creates a more knowledgeable company by communicating discrete learnings to working teams, and by leveraging data visualization platforms to drive change at scale
Ensures data quality and governance, in partnership with Information Technology teams and external partners
Keeps current with relevant research and novel data science methods
Drive for Results
Collaborate Cross Functionally
Master’s degree preferred in Mathematics, Statistics, Computer Science, Business Management, or similar field or experience
1-2 years of experience in Data Science, Analytics, Business Intelligence, or similar field
Fluent in R, and Python; experience with SQL and data visualization platforms
Exceptional relationship management experience. Must be extremely detail-oriented and have a hands-on approach
Ability to thrive in a multi-tasked, fast-paced environment with frequently changing priorities
Strong communication skills, both written and oral; ability to communicate analytical conclusions with leadership effectively
Average salary and compensation
The average salary for a data Scientist is $137,200 in the United States. Position salary will vary based on experience, education, company size, industry, and market.
Los Angeles, California
Minneapolis-St. Paul, Minnesota
New York City, New York
Sample interview questions
Can you explain linear regression?
Can you explain logistic regression?
Can you define a confusion matrix?
What’s the difference between true positive and false positive rates?
What do you consider to be the key differences between data science and traditional application programming?
What’s the difference between supervised and unsupervised learning?
What are popular libraries used in data science?
How would you go about pruning in a decision tree algorithm?
What’s an RNN?
What’s an ROC curve?
How would you explain the difference between data modeling and database design?
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