Data Scientist, Senior Job Description
Data scientist, senior
provides methodological and programming expertise to data science tasks that may include data visualization, predictive analytics, machine learning, natural language processing, or GIS analysis.
Data Scientist, Senior Duties & Responsibilities
To write an effective data scientist, senior job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist, senior job description templates that you can modify and use.
Sample responsibilities for this position include:
Research and design algorithms for use in personalised discovery services
Research, develop and evaluate algorithms to power discovery services
Identify, obtain and prepare large scale data sets for training and testing algorithms
Generate insights in such a way that the businesses can clearly understand the quantifiable value
Help inform business decisions in areas such as customer segmentation, product development, forecasting of customer behavior, web security profiling, and customer experience
Build mathematical models to analyze and derive practical insight from large volumes of data
Create compelling visualizations to communicate insights to internal clients
Help business leaders in Sales, Marketing, Product, and Operations groups formulate critical questions that may be answered through statistical analysis
Work with team to develop new business metrics if required and build measurement systems if needed
Create learning loops in which user experiences generate insights used to drive growth and engagement across different platforms
Data Scientist, Senior Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist, Senior
List any licenses or certifications required by the position: SAS, FRM, CFA, SQL, CPA, ACE, FEAC, ETL, AI, BPI
Education for Data Scientist, Senior
Typically a job would require a certain level of education.
Employers hiring for the data scientist, senior 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 Data Scientist, Senior
Desired skills for data scientist, senior include:
Python
R
Experience working with database systems
Statistics
Commercial Cloud services used by the IC
Java
GEOINT TCPED process
Hadoop
Natural language processing techniques
SAS
Desired experience for data scientist, senior includes:
Ability to devise creative technical solutions that scale with growing data sets
Strong knowledge of SQL and Hadoop/Hive technologies
Programmatic data manipulation skills - SQL, R data tables
Strong preference for an undergraduate degree in engineering, statistics, or mathematics
Ability to work independently lead small cross-functional teams
Advance analytics projects helping customer enhance business performance using data insights
Data Scientist, Senior Examples
1
Data Scientist, Senior Job Description
Job Description Example
Our growing company is looking to fill the role of data scientist, senior. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist, senior
- Architect the data science solutions to complex high dimensional data
- Deep dive on to theoretical and implementation details and provide the solution fundamentals
- Support architecture and platform team to optimize their operation
- Provide guidance and mentor developers in the data analytics team
- Present and Communicate solution design with Business & IT audience
- Capable to train and gain expertise quickly on new Infrastructure tools and all assigned technologies
- Engage with the business segments and internal stakeholders to capture requirements
- Work closely with analysts and business process managers to develop an end-to-end analytics solution
- Participate in technical forums and other appropriate events and conferences
- Design – understand key analytical challenges in the area of pharmacovigilance and work with senior scientists / physicians to structure analytical approaches to answer questions of interest
Qualifications for data scientist, senior
- 3-5 years of relevant work experience (Building statistical and/or machine learning models for real-world predictive modeling problems)
- Familiarity with data extraction & manipulation tools (knowledge of SQL is a must)
- Interest and aptitude in reading published literature from academia and industry on latest tools & techniques, ability to translate them into practice
- Good programming skills (expertise in R is a definite plus)
- Familiarity with data visualization tools like Tableau, D3.js
- Experience in working on big data environments like Hadoop
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Data Scientist, Senior Job Description
Job Description Example
Our company is growing rapidly and is looking for a data scientist, senior. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist, senior
- Communicate predictions and findings to management through effective data visualizations & reports
- Develops and participates in analytic results and solution presentations and consultations to existing and prospective customers
- Provides technical expertise and guidance to less experienced employees when developing and implementing model results
- Research analytic methodologies to guide the development and delivery of analytical solutions from multiple sources such as (but not limited to) journals, conference papers, and technical publications
- Actively participate in proposal content development
- Work with distributed teams in developing predictive systems, create efficient algorithms to draw intelligence from existing data
- Work closely with our manufacturing and supply chain domain experts and the business to evaluate, design and implement statistical analyses of manufacturing data to create analytic metrics and tools
- Be a trusted advisor in the analytics discipline
- Develop project guideline, objectives, metrics, deliverables and prototypes that can be used to drive manufacturing excellence
- Apply the scientific method to solve engineering problems
Qualifications for data scientist, senior
- 2-3+ years working in web analytics, security, computer forensics, or algo trading preferably with organic or paid search technologies, web analytics tools or development, ecommerce, publishing network, and/or automated algo trading
- Additionally, the candidate must demonstrate high energy/creativity, a passion for analyzing highly complex data sets, strong communication and project management skills, strong debugging skills, an entrepreneurial spirit, a relentless customer-focus, a practical understanding of quantitative methods, and superb attention to detail
- C#, ASP, .NET languages, JavaScript, PHP, ASP, Perl, HTML, Flash, Data Warehouse and understanding of XML data structures are a plus
- Design and development skills/experience with SQL
- 2+ year’s relevant experience with web server, big data technologies
- Bachelors or Master’s degree in quantitative field such as mathematics, statistics, operations research, or engineering/technology with an emphasis on statistical analysis
3
Data Scientist, Senior Job Description
Job Description Example
Our growing company is hiring for a data scientist, senior. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data scientist, senior
- Work with stakeholders to validate/test subset of model(s) and obtain approval for models that achieve specified business goals
- Report analytical results in a variety of creative visual formats that appropriately provides insights to stakeholders
- Coach a team of data scientists for analytics
- Support the Product Owner in the definition of the product roadmap
- Support the Sales Team in executing Proof Of Concept during XTEL sales activities, to estimate feasibility and complexity of the real project
- Lead design workshop and gather requirements from clients during the design phase of the projects
- Design, develop, test and maintain mathematical and statistical models to optimize sales and marketing processes, both standard functionalities for the XTEL product and custom functionalities for specific client requirements
- Document product and custom enhancements
- Prepare presentations to share with the senior clients the outcomes of Proof Of Concepts and Design
- You will dive deep into data to find key insights that impact product design and development
Qualifications for data scientist, senior
- Network experience of some kind
- Must know open source tools
- Master Study or Ph.D
- Fluency with at least one scripting language such as Python, Java
- Proficiency in relational databases/SQL
- Excellent experience with large data sets and distributed computing (Spark/Hadoop) is a plus
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Data Scientist, Senior Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of data scientist, senior. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist, senior
- Identify new problems and prototype solutions while working closely with business experts to generate ideas and ensure adoption
- Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems
- Coach and mentor other Information Scientists in the creation, validation, and application of statistical models, in implementing digital solutions
- Participate on 3-4 projects concurrently
- Significant challenges of this position are working with people
- Developing the analytics prototypes hands-on and implementing analytics solutions with engineers
- Evaluating and vailidating your data analytics solutions in the hostipal settings
- Documenting your innovation outcomes in a formal way such as patents, technical notes, peer-reviewed publications
- Analyzing and modeling both structured and unstructured data from a number of distributed devices and sources
- Exploring and understanding data, building advanced statistical models, and presenting research and findings to any level of audience
Qualifications for data scientist, senior
- Scripting knowledge in Python, R, MATLAB, Perl, SQL or similar languages
- Proficiency with querying and scripting in SQL Server
- Demonstrated background in quantitative analysis, focusing om statistical and/or machine learning analysis
- Experience with cloud-based computing, Python, UNIX, and/or digital marketing is preferred
- Ability to engage with clients and make data-driven recommendations in terms that on-technical stakeholders can understand and meet project deadlines
- Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, Statistics or Physics is preferred
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Data Scientist, Senior Job Description
Job Description Example
Our growing company is looking for a data scientist, senior. 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 data scientist, senior
- Provides expertise in systems and affordability/failure analysis, experimental testing, training, technical assurance oversight and evaluation of OCO capabilities, hardware design and development, and software development
- Responsible for requirements gathering and documentation, software development, test plan development and implementation, and eventual rollout and user training for multiple applications
- Researches unconventional applications of software and operating systems in designing and developing new methodologies, significant modifications or adaptations of standardized techniques
- Responsible for developing project plans, guidelines, and controls
- Own and drive E2E workflow of scenarios leveraging models
- Partner with teams to identify and explore opportunities for the application of machine
- Provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources
- Develop statistical and predictive analytic models for large, diverse data sets
- Improve upon current methods for the automated processing and exploitation of large data sets
- Design, develop and advance new methods to extract information from diverse data sources using flexible querying methods, innovative visualization, and data aggregation/integration, data mining and analytical techniques
Qualifications for data scientist, senior
- 4+ years of experience as a data scientist or a related role
- Experience with widely used machine learning algorithms like linear and logistic regression, decision trees, SVM, KNN, k-means, random forest, dimensionality reduction
- Proven ability to architect elegant solutions that solve problems holistically
- Experience defining and analyzing multivariate tests
- Expert in R with experience in machine learning related packages
- Expert in SQL with experience in data warehouse technologies like Teradata