Data Manager / Data Scientist Job Description
Data manager / data scientist
provides methodological and programming support to data science tasks that may include data visualization, predictive analytics, machine learning, natural language processing, or GIS analysis.
Data Manager / Data Scientist Duties & Responsibilities
To write an effective data manager / data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included data manager / data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Perform data analysis as needed using various machine learning and text mining techniques
Perform data discovery incorporating new datasets into existing analytics
Candidate will be a leader in the global delivery center for machine learning and advanced analytics
Responsible for designing and implementing algorithms employing novel tools & techniques that leverage recent advances in the science, and incorporating signals from broader customer activities including Online behavior in the domain of demand planning, PO sizing & packing, initial allocation and replenishment, customer order fulfillment optimization
Design and implement sophisticated analytical projects aimed at measuring business risks and control issues proactively
Develop innovative, re-usable tools that can be leverage by business units across the firm
Collaborate with business managers and developers to integrate analytic results with existing systems
Stay abreast of new tools and technologies to practice up-to-date data analytic strategies
With guidance, perform advanced statistical analysis, such as development of production-ready algorithms, neural networks, decision trees, analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics)
8-10 years of experience of hands-on, real world web analytics experience
Data Manager / Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Manager / Data Scientist
List any licenses or certifications required by the position: INFORMS, PMP, SAS, RAVE, HAZWOPER, OSHA, AWS
Education for Data Manager / Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the data manager / data scientist job most commonly would prefer for their future employee to have a relevant degree such as Master's and University Degree in Statistics, Computer Science, Engineering, Mathematics, Economics, Physics, Science, Machine Learning, Applied Mathematics, Business Analytics
Skills for Data Manager / Data Scientist
Desired skills for data manager / data scientist include:
Aggregation
Cleansing
Data Integration
Data Warehousing and Data Analytics subject areas
Data analysis to deliver on internal/client requirements
Laboratory analytical data verification and validation processes
Server architecture and web technology
Information retrieval
Data mining
Statistics
Desired experience for data manager / data scientist includes:
Ability to work both at a detail level to summarize findings and extrapolate knowledge to make strong recommendations for change
Bachelor’s or a graduate degree in Computer Science, Statistics, or a related quantitative field
Extensive experience with programming language such as Python and/or Java
Experience with visualization and report automation BI tools such as QlikView, Tableau or Cognos
Strong familiarity with data preparation and processing in relational NoSQL databases such as Hadoop or graph database
Previous relevant industry experience as Data Scientist, Predictive Modeller, Statistician or Data Scientist from any industry - Financial Services, Insurance, Marketing, Tech
Data Manager / Data Scientist Examples
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Data Manager / Data Scientist Job Description
Job Description Example
Our company is hiring for a data manager / data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data manager / data scientist
- Leverage experience in statistics, modeling, segmentation, optimization, forecasting and demand mitigation to improve operational efficiency and evaluations of innovations
- Lead organizational efforts to explore, extract and store structured and unstructured data from primary and secondary sources using SQL/related language to be used in reports and statistical analysis
- Designing and interpreting analytical models to discover data-driven insights that are actionable and transformative for restructuring strategies and operations to drive business value
- Promotes the standardization of the programming processes from extracting data to presenting the analysis results
- Initiates and develops utility modules to improve programming efficiency
- Interacts primarily with internal (Quantitative Sciences, IT, Epidemiology, Scientific Affairs) and potentially with external (CROs, data owners within the IMI framework) business partners to access data and tools for analysis
- May independently or in collaboration with human resources managers, guide supervisors in the interpretation and implementation of human resources policies, procedures and programs
- Responsible for overseeing the finances for area of responsibility developing, monitoring, and analyzing a complex consolidated annual budget
- Represent the organization's business operations and administrative affairs within the organization, and/or outside constituencies
- Support the strategies and objectives of the Associate Director, Development Financial Analysis
Qualifications for data manager / data scientist
- Must be able to convey analytic findings into strategic implications and actionable recommendations to executive audiences
- Must be diplomatic
- Strong background in statistics, including experimental design and regression modeling
- Experience with web analytics software (Omniture, Google Analytics, ) - knowledge of tagging/tracking is a plus
- Familiarity with either Hadoop MapReduce or Apache Spark ecosystem of open-source tools and ML packages very desirable
- You hold yourself and your colleagues to a high bar, and take great pride in your attention to details
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Data Manager / Data Scientist Job Description
Job Description Example
Our innovative and growing company is looking for a data manager / 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 data manager / data scientist
- Design, develop and deliver actionable insights to drive growth, improve forecast accuracy and increase profitability & customer satisfaction
- Analyze large data sets to develop new models and algorithms to predict demand & supply performance, trend, cost, customer satisfactions
- Develop data driven algorithm for optimization of desired variable performance
- Improve model accuracy
- Partner with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas
- Build models by using algorithms and statistical analysis methods including recommendation engines, classification, collaboration filtering, sentiment analysis, topic modeling, regression, time-series analysis
- Identify interesting correlations, trends and patterns
- Collaborate with Food Genius leadership and US Foods business stakeholders to identify and clearly define problems that could be solved with restaurant, menu data, and internal US Foods data sources
- Contribute significantly to the development and implementation of Food Genius's data science strategy
- Source, clean, and structure data, conduct exploratory analyses, build models, collaborate on production code, and communicate findings and results to Food Genius leadership and US Foods business stakeholders
Qualifications for data manager / data scientist
- 3+ years of work experience with Big Data Analytics technologies
- Good to expert knowledge of R (programming language)
- Degree in a quantitative (Statistics, Math, Economics) or technical (Computer Science, Engineering, Information Technology, Operations Management) discipline or relevant work experience
- 8+ years of experience in a related fields
- Proven track record of applying some analytical modeling methods on large datasets (big data) to discover data-driven insights that are actionable and transformative for restructuring strategies and operations to drive business value
- Knowledge of some supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models
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Data Manager / Data Scientist Job Description
Job Description Example
Our company is looking for a data manager / 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 data manager / data scientist
- Develops reusable, maintainable and effective predictive and behavioral models through rapid, iterative, Agile development using machine learning techniques
- Provide business analysts and/or more junior data scientists with technical guidance
- Collaborate with business and informatics stakeholders to lead business case development for new initiatives business case tracking for completed initiatives
- Collaborate with other BSMs across functions and regions to identify and address business problems and opportunities, evaluate alternative informatics technologies and research industry best practices and emerging trends
- Provide additional quality assurance on EDDs and upload to EQuIS
- Communicate with data providers to ensure the correct meta data for submissions and directives for error corrections
- Project newly installed sampling locations onto mapping for verification of coordinates
- Update and modify Valid Values in EQuIS
- Communicate with Project Managers defining reporting requirements
- Manipulate database to provide analytical data summary tables for reports
Qualifications for data manager / data scientist
- Ability to advise on an appropriate modeling technique based on business or decision objective, data availability, data type and possibly idiosyncratic considerations
- Knowledge of computer programming languages and skills with analytical tools
- Basic knowledge of Database Design, Databases (Oracle / MS SQL Server / DB2)
- At least 3 years of experience in programming against large healthcare datasets is required
- Knowledge of syndicated analysis and reporting tools including IRI, Nielsen, NPD
- Proven knowledge of advanced technique such as GLM, GAM, Machine Learning algorithms, decision tress
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Data Manager / Data Scientist Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of data manager / data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data manager / data scientist
- Collaborate with the business to review data sources, data inconsistencies, and business logic for initiating data discovery
- Design, test, and maintain SAS and PL/SQL programs as needed
- Design and deliver predictive analytics, dashboards and reporting for end-users in the business and shared services (finance, project, technology, etc) leveraging probability and relevant mathematical concepts
- Drive efforts to improve data and reporting capabilities and establish long-term strategy by working with process engineering, technology and other subject matter experts
- Develop, mentor and train more junior staff
- Work with digital stakeholders and managers to understand business objectives
- Ensures Clinical Development Data Management (CDDM) activities related to an assigned study adhere to Actelion Standards, applicable regulations
- Meets study timelines in terms of CDDM deliverables
- Ensures data handling consistency within allocated study(ies)
- Leads Data Management activities for assigned study
Qualifications for data manager / data scientist
- Ability to independently apply analyticmodeling techniques such as linear and logistic regression, support vectormachines, decision trees / random forests, Naïve-Bayesian, neural networks,association rules, text mining, and k-nearest neighbors among other models
- A master’s degree in advanced supply chain or information systems with 3+ years’ experience across different industries is preferred
- Significant exposure to modeling and simulation tools
- Minimum of five years experience of professional post academic work preferably with a Ph.D
- Experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Cognitive Science or other related areas
- Hands-on Experience with Master Data Management, modeling, data science and governance
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Data Manager / Data Scientist Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of data manager / 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 data manager / data scientist
- Represents CDDM at Clinical Trial Team (CTT) meetings
- Manages and is accountable for CDDM activities in studies where CDDM is outsourced
- Presents study related topics at CTT, Investigators and Monitors meetings
- Participates in development and review of policies, Standard Operating Procedures (SOPs), and associated documents for CDDM
- Represents CDDM in cross functional working groups related to the system / process
- Mentors data scientists
- Help drive client engagements focused on big Data and advanced business analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management
- Works with functional consulting teams across business domains, including Communications, Media, Entertainment, Oil & Gas, Manufacturing, Retailing, and Distribution
- Works closely with industry Subject Matter Experts, Data Architects and Solution Architects to understand business problems, identify data sources, develop analyzers and predictive models and configure visualization software to communicate results
- Applies intellectual curiosity and deep analytical thinking to mine large data sets for hidden gems of insight and correlation
Qualifications for data manager / data scientist
- Proficiency in programming languages such as Python, Perl, HTML5, R is preferred
- Strong working knowledge of the processes associated with the end-to-end supply chain, including New Product Introduction (NPI), capacity planning, sourcing, manufacturing (internal and external), logistics, and service is preferred Healthcare industry experience preferred.Operations (Generalist)
- A minimum of two (2) years of Managerial experience including project/program management
- An advanced degree in statistics, analytics, or data science
- Working knowledge of various statistical modeling techniques and algorithms and their application within complex analytical projects, , regression, classification, clustering, ROI
- Experience using simulation and optimization programming solutions, including monte-carlo analysis and portfolio modeling