Senior Data Scientist / Data Scientist Job Description
Senior data scientist / data scientist
provides other data scientists on the team with guidance in Artificial Intelligence (AI) and Machine Learning (ML), agile practices, and working with clients.
Senior Data Scientist / Data Scientist Duties & Responsibilities
To write an effective senior data scientist / data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included senior data scientist / data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Experience with Teradata Aster SQL-MR
Provide other data scientists on the team with guidance in Artificial Intelligence (AI) and Machine Learning (ML), agile practices, and working with clients
Collaborate with stakeholders and identify opportunities to drive business value by leveraging Artificial Intelligence and Machine Learning
Leverage distributed computing, machine learning and AI techniques for analysis, data mining and modeling
Develop algorithms and refactor existing scripts and code bases to improve efficiency
Transform data into products for customers’ success
Develop metrics and parameters for monitoring clients environments
Determine when anomalies arise o help predict occurrence of issues
Develop experimentation and data collection plans
Identify and implement new analytics products that enhance the value for customers
Senior Data Scientist / Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Senior Data Scientist / Data Scientist
List any licenses or certifications required by the position: SAS, FRM, CFA, SQL, CPA, ACE, FEAC, ETL, AI, BPI
Education for Senior Data Scientist / Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the senior data scientist / data scientist job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Statistics, Computer Science, Mathematics, Engineering, Physics, Science, Economics, Machine Learning, Applied Mathematics, Technical
Skills for Senior Data Scientist / Data Scientist
Desired skills for senior data scientist / data scientist include:
Experiment Design for web-based products
R
Python
SQL
Spark
Distributive computing tools
SAS
Java
Like Hive
Optimization
Desired experience for senior data scientist / data scientist includes:
Programming skills and capability will be pivotal to this role to create working solutions and tools that deliver results
Masters or PhD degree in a quantitative discipline (e.g., Computer Science, Math, Statistics, Physics, Electrical Engineering) or strong experience in a relevant role
Experience developing in production-quality systems, ideally in Java and Scala
Extensive experience with large scale relational databases and SQL
Hands on experience with distributed data processing tools like Hadoop/HDFS and Spark
Ability to manage competing priorities in a complex environment while maintain high productivity
Senior Data Scientist / Data Scientist Examples
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Senior Data Scientist / Data Scientist Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of senior data scientist / data scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for senior data scientist / data scientist
- In depth experience with exploratory Big Data discovery through the use of technologies such as Teradata EDW, Aster, Tableau, and Hadoop
- Able to perform machine learning experimentations and draw conclusions
- Create statistical and machine learning models in multiple technologies using best-in-class data science approaches
- QA and measurement of solutions with the team
- The Data Scientist sifts through the data for useful nuggets of information, and then presents it to the client to allow business decisions to be made on the findings
- Build scalable, RESTful microservices to surface analytics results for stakeholders
- Create and deploy model and algorithm testing strategies to ensure model predictability holds
- Present results to business line stakeholders and help implement real data-driven changes
- Design state of the art descriptive, diagnostic and predictive algorithms based on the business requirements
- Provide analytics solutions in Big data platform which can scale
Qualifications for senior data scientist / data scientist
- Software development skills in high level languages (C#/C/C++/Java/F#)
- Experience working with large data sets and working with distributed computing tools
- Bachelor or Master’s degree in quantitative field such as mathematics, statistics, operations research, or engineering/technology with an emphasis on statistical analysis
- Background in Computer Science, Electrical Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field, with PhD or MS degree with 3+ years of experience in the industry for Scientist, 4+ years post Ph.D or 7+ years post M.S for Senior Scientist, 7+ years post Ph.D or 10+ years post M.S for Principal Scientist
- Programming skills (esp
- Masters degree (preferably in Statistics / CompSci), with exposure to Statistics, Data Mining and Operations Research
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Senior Data Scientist / Data Scientist Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of senior data scientist / data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for senior data scientist / data scientist
- Knowledge/Exposure of distributive computing tools (Spark, Hive, etc)
- Able to take experimentation to production by working hand-in-hand with engineering and PM team
- Establish data model and framework that captures internal and external structure and unstructured data sources to enable predictive modeling and insights
- Lead development and execution of advance predictive model, analytical rigor and statistical methods to analyze and visualize large amounts of data, using advance statistical modeling techniques and mathematical analyses to discover insights and identify opportunities
- Anticipates and solves strategic business problems with broad impact by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions
- Interacts with internal domestic and global business and IT groups to share findings and gain alignment on recommendation and strategy
- Partner with infrastructure and platform teams to configure, tune tools, automate tasks and guide the evolution of internal big data ecosystem
- Provide technical support primarily in the data analytics area to the dedicated sales teams and Data Analytics BD team for targeted accounts on all process performance improvement / troubleshooting related pursuits
- Perform analyses of structured and unstructured data to solve complex business problems utilizing advanced statistical techniques and mathematical analyses
- Employ various software and/or analytical methods to prepare data for use in predictive & prescriptive modeling
Qualifications for senior data scientist / data scientist
- Deep familiarity with statistical models & methods (time-series analysis, regression analysis, experimental design, hypothesis testing)
- Master’s Degree in Statistics, Mathematics, Econometrics, Machine Learning or a related field required
- Experience developing and applying statistical models to extract value from real-world data
- Experience analyzing data stored in relational databases
- Bachelors in Computer Science, Statistics, or related field with a strong analytical emphasis required
- Master’s degree in Computer Science, Data Mining, Statistics, Finance, or Machine Learning desired
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Senior Data Scientist / Data Scientist Job Description
Job Description Example
Our growing company is hiring for a senior data scientist / data scientist. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for senior data scientist / data scientist
- Employ analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling
- Document approaches, best practices and tool use cases for advanced statistics and analytics
- Communicate insights from analyses to internal stakeholders in clear business terms
- Assist in making data science techniques approachable and understandable to non-data scientists
- Collaborate with business analysts and data engineering team to create repeatable processes and scalable data products
- Identify appropriate data science solutions as new data-centric business problems arise
- Stay current with new data science methods, technologies, and industry trends
- Support Manager of Data Science in developing and implementing data science processes and best practices
- Work with stakeholders to gather and refine specific business problems and scenarios and document analytical solution requirements
- Define the data requirements for specific business problems and Identify sources of data in consultation with stakeholders (e.g., in-house data store/warehouse, external data mart)
Qualifications for senior data scientist / data scientist
- Expert in statistical software like R, SAS or Statistics
- Strong coding skills with Python or R SQL and AWS
- At least a Master's Degree OR PhD and a minimum of 7 years of experience in open source programming languages for large scale data analysis
- At least 5 years of experience with relational databases
- Advanced degree in a quantitative field (Statistics, Mathematics, Economics)
- Experience in processing and analyzing Big data - large scale data volumes, semi-structured and unstructured data and
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Senior Data Scientist / Data Scientist Job Description
Job Description Example
Our growing company is looking for a senior data scientist / data scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for senior data scientist / data scientist
- Proven ability to build and manage successful relationships with internal and external stakeholders and work both independently and within a team-centric environment
- Develop data commercialization and publication quality data sets and analyses utilizing data from various internal and external sources in collaboration with internal and external business partners
- Perform duties and responsibilities in a manner consistent with our Mission, Values, and Charism
- Recent hands on experience building predictive models and algorithms in support of solving business problems
- Collaborate with internal business partners to understand business needs and problems
- Investigate data from a variety of perspectives to determine hidden opportunities, trends, or features
- Apply advanced math and statistical tools and programming languages to invent and evaluate algorithms/model designs to solve problems and guide business decisions
- Present results in a clear, easy to understand manner
- Assist internal business partner analysts in understanding and developing advanced analytics
- Follow team processes, procedures, and delivery methods including, but not limited to, project charters, design documents, requirements, status reports, and hypothesis reviews
Qualifications for senior data scientist / data scientist
- Proven track record in driving new product development from concept to final delivery
- Experience analyzing large data set in order to draw conclusions about data integrity, accuracy, and general relationships
- BA/BS (MS or Ph.D
- PhD and 1-2 years of relevant industry work experience or a Masters Degree with significant relevant experience providing advanced analytics solutions is required
- Quantitative degree in Computer Science, Mathematics, Statistics, Management Science, or other relevant area
- Minimum of 3 years of experience using advanced analytical techniques to solve business problems with at least a year of project management leadership
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Senior Data Scientist / Data Scientist Job Description
Job Description Example
Our company is looking for a senior data scientist / data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for senior data scientist / data scientist
- Champion the development & implementation of new methods and best practices to grow the team as a best-in-class Data Science and Analytics team in the wider industry
- Raise the internal profile and value of the team to the wider business
- Partner with teams in technology to develop the right data, toolsets & platform to enable the benefits of the team’s work to be realised by the business
- Design experiments, analyze results for statistical relevance, and present findings/recommendations clearly and concisely
- Scrum Team Lead
- Lead a team of modeling specialist that will build predictive models
- Team will be platform builders who create data platforms, balancing both engineering and data analysis concerns (current client data platform is Amazon Web Services (AWS))
- Team will be polymaths who do all data science activities
- Team will be User Interface designers to produce government approved analytics dashboards from the results of Task 2.0 and as reflected in the Final Report (see Task 2.0 below)
- Technical Team Leader who leads the team of data scientists and promotes best practices
Qualifications for senior data scientist / data scientist
- Demonstrated ability to lead and execute projects from start to finish
- Ability to independently support existing products
- Experience with regression, Neural Network, SVM, and/or ensemble methods
- Proven ability to work independently on development of complex models with extremely large and complex data structures
- Proficient in more than one of Python, R, Java, C++, or C
- PhD degree in statistics, applied mathematics or related quantitative field