Analytics Data Scientist Job Description
Analytics data scientist
provides data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs.
Analytics Data Scientist Duties & Responsibilities
To write an effective analytics data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included analytics data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Formulating mathematical approaches to solve those problems potentially utilizing ILOG CPlex, SQL, Arena, SAS, SPSS, Python, or R
Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as Python, R
Strong knowledge of statistical and machine learning techniques such as regression analysis, clustering, decision trees, ensemble methods, collaborative filtering
Innovate new modeling and machine learning approaches ·
Work on all aspects of the design, development and delivery of machine learning
Data visualization team will train and deployment of the new tools
Create fast insights through predictive modelling and the design of appropriate data models, analytical models and algorithms to support Predictive Analytics objectives
Lead a team of junior data specialists, provide guidance and coaching on appropriate analytical techniques and models to achieve the desired business outcomes
Identify needs and recommend solutions to drive the intended outcomes of the Security Analytics program
Support the influence and impact across the enterprise in promoting the Security Analytics strategic direction across the enterprise
Analytics Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Analytics Data Scientist
List any licenses or certifications required by the position: INFORMS, FRM, CPA, CFA, AWS, AI, APICS, SAS
Education for Analytics Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the analytics data scientist 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, Engineering, Machine Learning, Information Science, Management, Computing, Writing, Human Relations
Skills for Analytics Data Scientist
Desired skills for analytics data scientist include:
Statistics
Python
R
SAS
Data mining and information retrieval
Data visualization
Machine learning
Statistical modeling
Apply
Business and technical analytics and reporting applications to ensure the consistent application of analytics solutions
Desired experience for analytics data scientist includes:
An understanding of statistical output from procedures like clustering, machine-learning algorithms, regression modeling
Master’s degree preferred with a strong background in data science
Graduate degree in Quantitative field such as Statistics, Economics, Mathematics, Physics, Operation Research, Industrial and Systems Engineering, Quantitative Finance and related decision science fields
Bachelor / Masters degree / PhD in Computer Science, Statistics from reputed university
Proven ability to present technical information and data in a logical, concise manner, communicate the results of analyses clearly to both technical and non-technical audiences
Master’s degree in Quantitative field such as Statistics, Economics, Mathematics, Physics, Operation Research, Industrial and Systems Engineering, Quantitative Finance or related decision science fields
Analytics Data Scientist Examples
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Analytics Data Scientist Job Description
Job Description Example
Our company is growing rapidly and is hiring for an analytics 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 analytics data scientist
- Convey complex solutions in easy to understand terms through usage of data visualization and clear written and verbal communication
- Writing clean and concise code in either SQL or SAS to answer specific business questions
- Developing algorithms to transform cleaned data into actionable insights Build Predictive models that can be utilised within a business process
- Work closely with Functional Leads to understand business requirement
- Design and run complex analyses to generate business insights
- Communicate results of insights and escalate identified issues
- Collaborate with Project Managers and business stakeholders to execute Analytics projects
- Problem formulation and design of solution
- Evaluation of data accuracy, completeness, timeliness and stability to establish repeatable, sustainable processes to maintain
- Develop analytics solutions aligned with business focus and priorities, by leveraging standard tools and domain experts
Qualifications for analytics data scientist
- Working knowledge in Machine Learning techniques such as logistic regression, SVM, neural networks, decision tree, Time Series Modeling, Clustering
- Knowledge and experience with business intelligence tools such as Tableau is a plus
- The role is cross-functional and requires good business acumen, solid communication, teamwork skills, efficiency, proactive orientation, strategic outlook and being held accountable for performance
- Desire to work in a fast paced, unchartered environment required
- Track record of using advanced statistical methods, information retrieval, data mining techniques
- Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, HBase, etc
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Analytics Data Scientist Job Description
Job Description Example
Our company is looking to fill the role of analytics 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 analytics data scientist
- Assists in the application of supervised and unsupervised techniques including linear and non-linear approaches, clustering, decision trees, boosting, deep learning, text mining, and other types of machine learning techniques to improve prediction performance
- Create/validate data-driven, analytical capabilities (i.e., predictive models/algorithms) to understand customer behavior and competitive dynamics
- Works closely with other stakeholder groups to validate findings (e.g., with business partners) in a hypothesis-driven approach
- Work with ambiguity
- Present and depict recommendations so that business stakeholders can make data-informed decisions
- Actively leads the organization to test and buy-in to novel solutions to important problems, both from an IT and business perspective
- Provides ongoing monitoring of performance of decision systems and statistic models
- Suggests metrics on business outcomes (particularly those related to new capabilities) that are clear, accurate, relevant, logical and honest
- Perform exploratory data analysis on extremely large and complex data sets
- Translate complex quantitative analyses into business insights & provide recommendations
Qualifications for analytics data scientist
- Experience with statistical and analytical tools (R, Teradata Aster)
- Experience with programming languages (Java, Python, or Scala)
- Experience with customer journey analysis is a plus
- Experience with Teradata Aster SQL-MR is a plus
- Years of experience after graduate degree
- Strong Data Analytics skills and experience
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Analytics Data Scientist Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of analytics data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for analytics data scientist
- Understand business goals and develop analytical solutions to support operational performance reviews and decision making
- Propose robust solutions to improve processes and proactively drive opportunities to resolution, both operations & data architectures
- Monitor trends in data science and alternative sources to ensure that VF Corporation is in tune with best in class tools and techniques
- Drive strategic efforts across the supply chain organization, leveraging advanced analytics to optimize processes and procedures that lead to improved device life cycle management, working capital optimization and cost reduction
- Individual contributor and autonomous in technical and analytical choices like determining the appropriate modeling technique to utilize
- Own the development and use quantitative models to recommend inventory targets for different stock points in the supply chain (DCs, stores, ) at product level
- Own the analytics support and business recommendations for daily disruptions in supply and demand like promotions using data
- Cross train to support other OEM's as needed
- Present and communicate analytical modeling results to business partners and other internal and external stakeholders in a simplified structure with clear business heuristics which can be implemented in our supply chain
- Stay current with day-to-day operational business needs and join daily discussion and meetings
Qualifications for analytics data scientist
- Demonstrated skill in the use of analytic software tools or languages (e.g., JMP, R, Python)
- Create and deploy innovative data solutions and solve problems using data
- Exposure to cognitive and artificial intelligence technologies
- Ability to present and communicate at an executive level
- Training and mentoring of junior Data Scientists
- Leverage industry standard data techniques
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Analytics Data Scientist Job Description
Job Description Example
Our growing company is hiring for an analytics 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 analytics data scientist
- Utilizes, combines, and analyzes large data sets using multiple tools and techniques
- Performs highly analytical ad hoc projects especially as they relate to actuarial segmentation (territory, credit, underwriting scoring, evaluation of 3rd party vendor data)
- Use automated programs to standardize and merge internal and external data sources
- Investigate, identify, and incorporate non-traditional and external data sources for use in predictive analytics
- Build Excel workbooks (including VBA)
- Prepare PPT documents in English (no errors)
- Leverage experience and domain knowledge in manufacturing processes and databases to help data scientists identify and define manufacturing analytics opportunities
- Develop and manage Manufacturing related analytics projects
- Collaborate with Data Operations and Manufacturing IT to identify and acquire access to necessary data
- Manage relationships with suppliers and business partners in Manufacturing Engineering, and VO/PTO/Stamping Plants
Qualifications for analytics data scientist
- Candidates with a Ph.D in other quantifiable fields (e.g., Statistics, Mathematics, Physics) with applied practical experience and programming background are also desirable
- Experience in Computer Science, Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field
- 2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
- Proficiency in R, SAS, SPSS or other statistical package
- Knowledge of additional programming languages is a plus (Python, C++, Java)
- Familiarity with GIS software (e.g., ArcGIS, QGIS, PostGIS) and/or geospatial approaches (spatial analysis, network analysis, geographic visualization)
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Analytics Data Scientist Job Description
Job Description Example
Our growing company is looking to fill the role of analytics data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for analytics data scientist
- Communicate your results directly to stakeholders, using visualisations and dashboards when applicable, with either Tableau, PowerBI or flexdashboards in R, in a way that is so awesome that no-one forgets
- Develop machine learning algorithms that solve challenging clinical problems
- Devising new approaches to solve difficult statistical modeling problems
- Process, qualify and participate to the selection of business briefs based on feasibility / business value
- Understand the business questions and challenges across Nestlé
- Support the strategy and managing projects, people or innovation streams through a combination of
- Translate business challenges into data pipelines & model framework
- Train, validate, and tune predictive models around fans’ behavior
- Analyze, interpret & communicate the results of experiments
- Deliver business value by translating complex data into meaningful insights
Qualifications for analytics data scientist
- Be responsible for analysis requests which includes requirements gathering, analysis and solving
- Collect, analyse and interpret qualitative and quantitative data using statistical theories and methods
- Master’s Degree in Computer Science, Mathematics, Statistics, Engineering, Management Information Systems, Physics, or related technical field
- Requires a PhD in Applied Math, Computer Sciences, Engineering or related field with 0-3 years of industry experience
- Master degree in Computer Science, Math, Quantitative Methods, Econometrics, Big Data, Physics or related
- Minimum 1 year of professional experience in programming & solving business problems using data mining (required) or optimization techniques