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Become A Senior Data Scientist

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Working As A Senior Data Scientist

  • Interacting With Computers
  • Getting Information
  • Processing Information
  • Thinking Creatively
  • Making Decisions and Solving Problems
  • Deal with People

  • Mostly Sitting

  • Make Decisions

  • Repetitive

  • $124,913

    Average Salary

What Does A Senior Data Scientist Do At Microsoft Corporation

* We are looking for an experienced Senior Data Scientist Individual Contributor (IC) to play a lead role in our Supply Chain Engineering team to create advanced statistical models and analyze data to provide actionable insights and proactive measurements of the Supply Chain business.
* Responsibilities will include:
* Creating analytical models, performing analysis on data to identify trends, patterns, correlations, and providing insights from data to customers and business.
* Develop a good understanding of Microsoft’s cloud operations, problems and challenges, and provide insights and guidance to stakeholders through your modeling and analysis work.
* Design and implementation of machine learning and data science models in the Supply chain systems.
* Guide and coach junior member in the team to generate the right insights from the data

What Does A Senior Data Scientist Do At Cigna

* Extraction and analysis of large healthcare claims data using SAS, SQL, R, Teradata, Hadoop, etc.
* Opportunity analysis including descriptive and multivariate statistics to identify patterns in the data
* Matched case-control studies and/or randomized control trials for determining the effectiveness of health program services and solutions
* Creation of actionable insights and recommendations for business leaders
* Presentation of results and recommendations to non-technical business partners and stakeholders to drive the decision-making process
* Partner closely with the business to ensure a cohesive understanding of our business strategy

What Does A Senior Data Scientist Do At Comcast

* Selectingand transformingfeatures, building and optimizing classifiers using machine learning techniques
* Integrating data from multiple sources including third party sources.
* Data mining using state-of-the-art methods
* Enhancing data collection procedures to include information that is relevant for building analytic systems
* Frequent meeting/communication with clients to interpret their needs, plan/organize, and discuss progress and results
* Developing actionable quantitative marketing models in the areas of marketing effectiveness, ROI, pricing and optimization.
* Doing ad-hoc analysis and presenting results in a clear manner
* Creating automated anomaly detection systems and constant tracking of its performance
* Adapting and enhancing machine learning techniques based on physical intuition about the domain
* Review, direct, guide, inspire the analytical work of more junior staff
* Here are some of** **the** **specific technologies we use:
* Spark(AWS EMR), AWS Lambda
* SparkStreaming and Batch
* Avro, Parquet
* Kafka
* MemSQL, Cassandra,HBase,MongoDB, RDBMS
* Caching Frameworks(ElasticCache)
* Elasticsearch, Beats, Logstash, Kibana
* Java, Scala, Go, Python, R
* Git,Maven, Gradle, Jenkins
* Rancher, Puppet, Docker, Ansible, Kubernetes
* Linux
* Hadoop (HDFS, YARN, ZooKeeper, Hive), Presto

What Does A Senior Data Scientist Do At Intuit

* Excellent leadership and communication skills, to influence and lead teams and to evangelize data science across the organization
* Proven leadership experience in the domain of Data Science
* Having a wide-latitude in determining objectives and approaches to solution development on mission critical assignments
* Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions
* Be part of a dynamic and cohesive team of highly trained and successful researchers
* Independence in the shaping and development of projects
* Ability to quickly understand patterns within large quantity of data and to reference key characteristics using visualization techniques
* Demonstrating strong programming skills in large-scale data analysis using Java, R, Python or related software
* Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities related to next generation Cloud technologies 
* As an insight incubator, works autonomously or leads teams to generate or shape new and highly critical business propositions that exploit and monetize big data research
* Provides consultative guidance across Intuit's businesses on how best to utilize data for business decision-making, and to build the organization mind-set and capabilities needed to fully exploit this data as an asset
* Works with business planners to propose innovative products and services that fully utilize the power of big data, or that indicate the need for new data platforms and associated product/service functionality
* Sets self-initiated research objectives and exercises a wide latitude of discretionary judgment in exploring advances in artificial intelligence and applying innovative machine learning techniques to Intuit's data capturing and mining business strategy
* Collaborates with infrastructure architects in assessing and addressing the requirements for more automated, streamlined systems and for the data governance required for agile and responsive data manipulation
* Introduces industry-leading or academic-based ideas, research, and insights required by Intuit  leadership to solve complex questions or fuel new business opportunities
* Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community
* Qualifications
* MS  in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
* Solid knowledge of statistical techniques is required
* years as either a lead in a data science role or in a management position in data science
* Strong communication skills and proven experience as an influencer at executive level
* Hands-on programming experience with one or more of the following: Java, Python, R, or related languages
* years’ experience manipulating large datasets and using databases (e.g.
* SAS, R, SQL, S-Plus, etc.)
* years’ experience with a general-purpose programming language (e.g.
* C, Java, Python, etc.)
* Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.)
* Demonstrable ability to quickly understand new concepts---all the way down to the theorems—and to come out with original solutions to mathematical issues
* Strongly Preferred:
* PhD  in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
* Proven experience with Machine Learning techniques, especially on large scale datasets
* Proven experience with Hadoop and related programming environments (Hive,Pig,etc)
* Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter
* Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel

What Does A Senior Data Scientist Do At Astrazeneca Pharmaceuticals LP

* Provide scientific guidance on the application of Real World Evidence and observational research data to support pharmaceutical development problems
* Support Pharmacovigilance teams and Epidemiologists extract value from large observational research data
* Support technical teams provide access to analytical tools and develop visual analytics to enable self-serving applications for end customers
* Provide clear technical input, options, and direction to strategic decisions on Real World Evidence platform and capability build
* Provide strategic decisions on AstraZeneca Medical Evidence and Observational Research external collaborations in the US and other markets
* Provide technical input, options and directions to strategic decisions made by AstraZeneca observational study teams on study design, data partner selection and best practices in Real World Evidence data utilization
* Assist in building a capability that becomes a source of sustained competitive advantage for AstraZeneca/MedImmune in identifying, acquiring, integrating and mining diverse Real World Evidence data from multiple geographic and healthcare system sources to support evidence generation and real-world studies
* Assist in the delivery of analytics and the build of analytics pieces as part of an Real World Evidence strategy
* Evaluate and assess strengths and weaknesses of external Real World Evidence data sources via interrogation, and potential partners for advancing the data strategy for a given therapeutic area
* Maintain a strong insight into the capabilities of potential external partners in Real World Evidence, especially for US and emerging markets

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How To Become A Senior Data Scientist

Most jobs for computer and information research scientists require a Ph.D. in computer science or a related field. In the federal government, a bachelor’s degree may be sufficient for some jobs.


Most computer and information research scientists need a Ph.D. in computer science or a related field, such as computer engineering. A Ph.D. usually requires 4 to 5 years of study after earning a bachelor’s degree, typically in a computer-related field, such as computer science or information systems. During their first 2 years in a Ph.D. program, students take a variety of computer science classes. They then choose a specialty and spend the remaining years in the program doing research within that specialty.

Computer scientists who work in a specialized field may need knowledge of that field. For example, those working on biomedical applications may have to take some biology classes.


Some computer scientists may become computer and information systems managers.

Important Qualities

Analytical skills. Computer and information research scientists must be organized in their thinking and analyze the results of their research to formulate conclusions.

Communication skills. Computer and information research scientists must communicate well with programmers and managers and be able to clearly explain their conclusions to people with no technical background. They often present their research at conferences.

Critical-thinking skills. Computer and information research scientists work on many complex problems.

Detail oriented. Computer and information research scientists must pay close attention to their work, because a small programming error can cause an entire project to fail.

Ingenuity. Computer and information research scientists must continually come up with innovative ways to solve problems, particularly when their ideas do not initially work as intended.

Logical thinking. Computer algorithms rely on logic. Computer and information research scientists must have a talent for reasoning.

Math skills. Computer and information research scientists must have knowledge of advanced math and other technical topics that are critical in computing.

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Senior Data Scientist jobs

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Real Senior Data Scientist Salaries

Job Title Company Location Start Date Salary
SR. Data Scientist-Streaming Experimentation Netflix, Inc. Los Gatos, CA May 11, 2015 $340,000
Senior Data Scientist Netflix Beverly Hills, CA Oct 11, 2016 $325,000
SR. Data Scientist-Marketing Experimentation Netflix, Inc. Los Gatos, CA Apr 13, 2015 $320,000
Senior Data Scientist Netflix Los Gatos, CA Aug 23, 2016 $250,000
Senior Data Scientist-Streaming Science and Algorithms Netflix, Inc. Los Gatos, CA Jul 10, 2015 $230,000
Senior Data Scientist Microsoft Corporation Redmond, WA Oct 31, 2016 $182,100 -
Senior Data Scientist Netflix, Inc. Los Gatos, CA May 30, 2016 $180,877
Senior Data Scientist Netflix, Inc. Los Gatos, CA Apr 12, 2016 $180,877
SR. Data Scientist-Acquisition and Messaging Experimentation Netflix, Inc. Los Gatos, CA Apr 06, 2016 $180,877
Senior Data Scientist-Streaming Science and Algorithms Netflix, Inc. Los Gatos, CA Jun 26, 2016 $180,877
Senior Data Scientist Netflix, Inc. Los Gatos, CA Nov 01, 2015 $180,877
Senior Data Scientist Netflix, Inc. Los Gatos, CA Jan 06, 2016 $180,877
Senior Data Scientist Netflix, Inc. Los Gatos, CA Nov 16, 2015 $180,877
Senior Data Scientist Netflix, Inc. Los Gatos, CA Feb 11, 2015 $180,877
Senior Data Scientist Square, Inc. San Francisco, CA Sep 14, 2015 $144,700
Senior Data Scientist-Product Marketing or Other Microsoft Corporation Redmond, WA Jan 13, 2016 $144,200 -
Senior Data & Applied Scientist Microsoft Corporation Bellevue, WA Jan 02, 2016 $143,740
Senior Data Scientist Zillow, Inc. San Francisco, CA Dec 27, 2016 $143,400 -
Senior Data Scientist Twitter, Inc. San Francisco, CA Oct 23, 2015 $143,000
Senior Manager, Data Scientist Vmware, Inc. Austin, TX Nov 23, 2015 $141,856 -
Senior Data Scientist Coffee Meets Bagel Inc. San Francisco, CA Jan 12, 2016 $141,669 -
Senior Data Scientist Eventbrite, Inc. San Francisco, CA Dec 19, 2015 $121,343
Senior Data Scientist Eventbrite Inc. San Francisco, CA Aug 10, 2015 $121,343
Senior Data Scientist Eventbrite, Inc. San Francisco, CA Dec 28, 2015 $121,343
Senior Data Scientist Salesforce.Com, Inc. San Francisco, CA Jul 09, 2016 $121,222
Senior Data Scientist Microsoft Corporation Redmond, WA Sep 15, 2015 $121,000
Senior Data Scientist General Electric Company San Ramon, CA Oct 31, 2016 $121,000
Senior Data Scientist Netflix, Inc. Beverly Hills, CA Apr 07, 2016 $120,453
Senior Data Scientist Lendingclub Corporation San Francisco, CA Sep 09, 2015 $120,000

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Top Skills for A Senior Data Scientist


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Top Senior Data Scientist Skills

  1. Predictive Analytics
  2. R
  3. Machine Learning Algorithms
You can check out examples of real life uses of top skills on resumes here:
  • Work with Services teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
  • Build machine learning powered recommenders for large enterprise clients in retail and digital content.
  • Company and industry key performance indicators, trends, and patterns were analyzed and predicted using machine learning algorithms.
  • Developed and taught a Python for analysts class.
  • Preprocessed the data in MySQL server from customers, removing outliers.

Top Senior Data Scientist Employers

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