Data Science Analyst Job Description

Data Science Analyst Job Description

183 votes for Data Science Analyst
Data science analyst provides strategic expertise in machine learning and data mining techniques to identify and apply appropriate techniques, including optimization, simulation, regression, decision trees, neural networks, cluster analyses, mixed models, etc.

Data Science Analyst Duties & Responsibilities

To write an effective data science analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included data science analyst job description templates that you can modify and use.

Sample responsibilities for this position include:

Builds a variety of statistical models, evaluates & proves model results
Work on some of the most complex problems imaginable at the intersection of two dynamic industries – finance and technology
Interact with insanely large and fascinating data currently not available anywhere else
Develop products that can change the way 1000s of clients operate, and how Banking is done today
Assist in client-facing situations, for instance in proposals and live presentations where a core part of the research solution resides in economic research or data science
Interact and collaborate with economists and industry researchers to embed data science inputs into economic models and other research projects
Assist in growing data science economic research skills in the team, ie
Build relationships with clients by understanding their business challenges and formulate business solutions using text analytics
Review complicated analyses to ensure the results identified will be relevant to client business users for a successful problem resolution
Build a portfolio of repeatable, powerful text analytics related analytics solutions that provide high quality and high value deliverables to clients

Data Science Analyst Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Data Science Analyst

List any licenses or certifications required by the position: HIPPA, FPX, PMI, APICS, IQ, SAS, CIA, CPA

Education for Data Science Analyst

Typically a job would require a certain level of education.

Employers hiring for the data science analyst job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Computer Science, Mathematics, Economics, Engineering, Education, Science, Business, Finance, Physics

Skills for Data Science Analyst

Desired skills for data science analyst include:

Data types
Scientific challenges and approaches
New York State Medicaid and CMS Medicare regulations and related reporting requirements
Machine learning techniques

Desired experience for data science analyst includes:

Exceptional communication skills – verbal, written, graphical, and presentation
Strong interpersonal skills with a demonstrated ability to build constructive and collaborative relationships with colleagues, business and functional partners, key business leaders and influencers, and third parties
Design, develop, and maintain data aggregation, summarization jobs
Minimum two years of experience in data/analytics for the Analyst role, three years for the Sr
Working knowledge of Adobe Analytics and Google Analytics
Bachelor's Degree in Business, Statistics, Math, Finance, Economics, Market Research or other quantitative oriented fields (Decision Sciences)

Data Science Analyst Examples


Data Science Analyst Job Description

Job Description Example
Our growing company is hiring for a data science analyst. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data science analyst
  • Develop and document predictive models in a clear and reproducible manner
  • Collaborate with business, IT, and engineering partners to design and develop products
  • Bachelor’s degree in Engineering, Sciences, or Mathematics required with Advanced degree preferred
  • Must be results driven and comfortable working in a fast-paced and dynamic environment
  • Knowledge of predictive modeling and risk modeling techniques
  • Ability to serve as a liaison between clinical and IT professionals
  • Support the “Data Scientist” vision of the group by participating in planning and development of analytic projects in response to business needs of functional areas
  • Develop and perform preliminary exploratory analysis on datasets associated with building advanced statistical models
  • Ensure accuracy of results and analytic methods
  • Creates and maintains complex analytical reports for OSO Marketing Managers and Professional Membership
Qualifications for data science analyst
  • Knowledge of scalable data management tools including Relational and NoSQL databases, Big Data architectures a strong plus
  • Master's degree in data science, mathematics or statistics
  • Hands-on experience with experimentation set-up and assessment in marketing-related applications
  • Ability to present issues and recommendations in a concise, direct manner
  • Curious, data fan with a strong research drive
  • Proven ability to work in teams and intercultural environments flexibility to work with team mates in different time zones

Data Science Analyst Job Description

Job Description Example
Our company is hiring for a data science analyst. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data science analyst
  • Capability to execute work in an environment of dynamic requirements and scope
  • Ability to validate underlying assumptions and/or programmatically transform validated assumptions into business rules
  • Working knowledge of classical statistical / hypothesis testing techniques
  • Ability to serve as a liaison between business, clinical and IT professionals
  • Some experience with visualization tools, particularly Tableau
  • Experience with other programming languages and data exchange formats (Java, C#, XML, JSON) a plus
  • Experience with big data tools and methodologies (NoSQL, MongoDB, Spark, Hadoop) a plus
  • Research, design, implement, and validate predictive models to increase the efficiency and effectiveness of Client CRM initiatives
  • Apply innovative statistical solutions for complex analytical problems facing our Clients that cannot be solved by simple descriptive statistics or data visualizations alone
  • Partner with Clients internal Business Leadership, Creative, and Strategy teams to uncover these core marketing and advertising business issues
Qualifications for data science analyst
  • Education teams by deconstructing analysis, showing analytic process and methodology, validating the tools used to create analysis, and making recommendations based on analysis
  • Familiarity with Hadoop based commercial packages
  • 3 years of relevant programming or analytics experience
  • Bachelor’s degree or higher in a quantitative field (Mathematics, Computer Science, Engineering, Physics, Economics )
  • Basic understanding of internet advertising technology (tagging, cookies, trafficking) is a plus
  • Experience with data analysis and data visualization in either academic or professional capacity

Data Science Analyst Job Description

Job Description Example
Our innovative and growing company is looking to fill the role of data science analyst. 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 data science analyst
  • Analyze options to centralize resources for analysts to make the transition of new analyst more efficient
  • Partner with business team(s) to understand their needs and independently work on a variety of analytics projects focused on delivering insights, dashboards and custom reports to drive a variety of decisions across the user life cycle
  • Extract required data from internal systems, lead analytics projects and monitor key trends in relevant metrics
  • Create and implement complex analytical modules and components, including algorithms for the Catalyst Retail Suite (CRS), by working side-by-side with and understanding requirements from Business Analysts, Product Managers, clients, or Consultants
  • Research and find optimal solutions to implement complex analytical modules and algorithms delivering optimal performance
  • Collaborate with Consultants, developers, QA, other Data Scientists
  • Proactively seek opportunity to consult with team members and stakeholders to collaborate on issues or problems that span across development and data components
  • Provide inputs to Application Architect to define the application architecture as a mean to achieve the businesses' security, flexibility, scalability, and performance goals
  • Institute superior analytical capabilities with diligence, attention to detail and technical intuition
  • Drive / contribute to technical implementation of analytical requirements and modules
Qualifications for data science analyst
  • Highly analytical, sharp and innovative thinker
  • Experience with Salesforce CRM, Adobe Analytics, data warehousing preferred
  • Comprehensive exposure to HIPAA data compliance, clinical research data, and personal health data encouraged
  • 2-5 years of Data/Customer Analytics experience (retail environment is a plus)
  • Advanced analyses skills (LTV, basket analysis, contact stream optimization, elasticity )
  • Knowledge of cloud-based solutions such as Azure, Cortana, Amazon ML

Data Science Analyst Job Description

Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data science analyst. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data science analyst
  • Work with data engineers to architect and develop systems that can run these models at scale
  • The role is based out of India, but will require interactions with stakeholders from multiple geographic locations including North America, Europe Asia Pacific
  • Assist in writing and editing manuscripts for publication
  • Conduct relevant literature reviews to inform cohort selection, variable definitions, and analytic methods
  • Participate in data-driven decision making with investigators
  • Suggest innovative solutions to data questions
  • Monitor, evaluate, and improve data quality
  • Conduct comprehensive statistical analyses according to the study design (e.g., cross-sectional, time series, difference-in-difference, machine learning) and prepare sophisticated reports, charts and tables
  • Advanced programming
  • Continually manage ongoing additions to database
Qualifications for data science analyst
  • Ability to exercise critical thinking and logical reasoning, and understand the conceptual framework and database relationships underlying health care data
  • Excellent oral and writing skills characterized by the ability to communicate effectively with varying audiences
  • Demonstrated ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables, anticipate consequences, and meet deadlines
  • Advanced interpersonal (e.g., mediating, mentoring, teaching) skills required to service internal and external clients effectively, and manage relationships and activities that are diverse and complex
  • Self-motivated and resourceful, with a demonstrated ability to think and work independently, and to exercise independent judgment in originating or developing complex techniques or programs in a complex and dynamic environment
  • High level of integrity as demonstrated by 1) appropriate treatment of confidential or protected health information, 2) adherence to policies, procedures, rules, and regulations, 3) professional conduct in dealing with persons internal and external to the organization, and 4) sensitivity to populations served by the organization

Data Science Analyst Job Description

Job Description Example
Our company is looking to fill the role of data science analyst. 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 science analyst
  • As a key partner on the Product Management team, you will participate annual product planning, new product design, execution, review and continuous product feature improvement
  • Developing point-of-care predictive analytics prototypes that provide incremental customer value, business insight, and/or improve existing decision support tools
  • Conducting statistical analyses, modeling data, validating model fits, and creating model visualizations
  • Mining, cleansing, and munging available data in support of practical business needs
  • Spotting previously unseen patterns in large datasets containing both structured and unstructured data
  • Becoming a subject matter expert (SME) of available data, capable of communicating data structure and practical use thereof
  • Applying modeling techniques to predict future events, fostering appropriate business decisions
  • Shepherding Decision Science projects from concept to completion, employing business analysis and project management skills as appropriate to drive project efforts
  • Working with organizational stakeholders to define opportunities and related capabilities and requirements
  • Serving as a liaison between both clinical and technical colleagues, understanding business needs well enough to design solutions and technical aspects well enough to create working prototypes
Qualifications for data science analyst
  • Must be skilled in MS-Dynamics (end-user and management level use
  • Demonstrated understanding of programming techniques and infrastructure, naming and design standards
  • Must have the ability to translate data to end-user reporting tools
  • Knowledge of medical terminology and/or data related to Cardiovascular Disease preferred
  • Experience working with virtual teams dependent on a CRM and analytics
  • Experience working with Big Data basic Machine Learning (academic or practical)

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