Data Science Consultant Job Description
Data science consultant
provides leadership in the data science discipline in order drive advanced algorithms, analytic models, data mining techniques and statistical inference in support of opportunity identification and insight generation.
Data Science Consultant Duties & Responsibilities
To write an effective data science consultant job description, begin by listing detailed duties, responsibilities and expectations. We have included data science consultant job description templates that you can modify and use.
Sample responsibilities for this position include:
Delivering a broad range of Data Science, Machine Learning and Artificial Intelligence engagements in a variety of areas such supervised and unsupervised machine learning, natural language processing and optimisation
Collaborate with other data science teams, business partners across business units and recommend employee experience/service improvements across the enterprise
Bringing technical and practical insight in to how clients might use data science and AI more effectively to manage risk across their business, both as part of specific projects and as added value to the services we currently provide
Keep up to date with new machine learning techniques, technologies, architectures and languages where necessary
Own and run the agile backlog for data science analytical activity
Lead Data Science team to successful delivery
Conduct data analysis using advanced skills in statistics and database management
Promote new techniques and approaches continuously review and adapt external developments
Acting as an internal enablement resource for client-facing sales and presales resources, Marketing resources
Participate in the implementation of and use of leading-edge data warehouse / big data technologies including software, end-user tools and other data services
Data Science Consultant Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Science Consultant
List any licenses or certifications required by the position: SSL, SQL, SPSS
Education for Data Science Consultant
Typically a job would require a certain level of education.
Employers hiring for the data science consultant 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, Management of Information Systems, Graduate, Applied Mathematics
Skills for Data Science Consultant
Desired skills for data science consultant include:
Statistics
Machine learning
Basic and advanced prediction models
Programming and predictive modeling
Code writing
Data science
Artificial intelligence
Relevant technical domains
SQL
Advanced statistical techniques and concepts and experience with applications
Desired experience for data science consultant includes:
Ability to lead cross-functional efforts or work independently with minimal supervision, pro-active and express leadership in analytical innovation and problem solving techniques
Strong business acumen, with excellent communications and interpersonal skills
Significant statistical consultancy experience
Substantial experience in a market research agency
Mastery of statistical software, scripting languages, and packages
Experience working with big data distributed programming languages, and ecosystems
Data Science Consultant Examples
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Data Science Consultant Job Description
Job Description Example
Our growing company is hiring for a data science consultant. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data science consultant
- Evolve the approach for the application of machine learning to existing program and project disciplines
- Lead solution scoping and definition for data science engagements
- Guide, mentor and grow data science consultants
- Performing Data investigations to determine root cause of data quality issues as well answer questions about data and/or data trends
- Work individually or with teams to develop utilities to prevent, identify and remediate data issues
- Proactively partner with business resources to understand business needs to data and translate those needs into reports, extracts, and data analysis deliverables
- Use advanced statistical techniques to provide deeper understanding of customer profile, behavior and actions
- Deliver key data driven insights ad recommend actions
- Supervise the development of advanced analytics and statistical models to support functional and industry applications
- Visualise the analytics outputs in an appealing & simple manner via dashboards, presentations
Qualifications for data science consultant
- Assist with the mentorship and development of consultants
- Has proven skills in analytically-related Open Source (and associated) technologies such as Python, R, MapR, Spark, Scala, Hadoop, Java, Lua
- High levels of proactivity, creativity, curiosity, self-motivation, and thirst for knowledge
- Solid experience in consulting activities
- Experience in analytics, business intelligence and big data
- Training and certifications in analytics solutions highly desirable
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Data Science Consultant Job Description
Job Description Example
Our company is looking for a data science consultant. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data science consultant
- Works independently to research and analyze but also interact with other analysts within the department other functional areas of the company
- Makes observations and defines problem statements and trusted to take necessary action in resolving
- Blends quantitative and qualitative analyses efficiently
- Filters information and makes presentations based on analysis
- Builds networks and partnerships, influences others
- Negotiates outcomes
- Collaborate with business and IT teams to understand the challenges and deliver business insights and reporting solutions
- Should have hands on experience in spend analytics pertaining to Procurement and Supply Chain
- Adept at working with large data sets
- Integration of data from different sources such as spend database, ERP systems etc
Qualifications for data science consultant
- Master’s Degree or above in Statistics, Applied Mathematics, Computer Science, Industrial Engineering, or related quantitative focus is a must
- 3~5 years of deep analytical experience in digital marketing, ideally of financial industry, with significant expertise in quantitative methodologies of marketing analytics, web analytics, machine learning and/or computational advertising
- Strong hands-on and efficient programming skills using SQL, SAS or similar statistical packages are a must
- Master’s degree from top tier college/university in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field
- You will answer our customer’s most relevant questions using advanced analytics skills, ideas and insights
- You will have to develop machine learning models and validate their performance quantifying business impact
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Data Science Consultant Job Description
Job Description Example
Our company is hiring for a data science consultant. 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 consultant
- Ability to build relationship models for dashboards and reports using large data
- Establish scalable, effective, automated processes for dashboards, data validation, model implementation and large scale data analysis
- Strong fundamentals in graphic design concepts to generate visually effective reports
- Stay well-informed of latest developments in the analytical space across industries for potential applications
- Define capability for a universal analytical platform within DLG
- Perform complex, advanced analysis of the associated product lines/models
- Through research, identify and propose changes/improvements to product offerings
- Query data to conduct ad hoc analysis of metrics and answer advanced business questions
- Independently manage low to moderate complexity projects
- Recommend and execute resolutions or process improvements
Qualifications for data science consultant
- Advanced understanding of Statistics and Mathematical modeling
- Recent graduate in Mathematics, Statistics or computer science
- Proven track record of working with predictive analytics softwares
- Major in quantitative discipline, such as Statistics, Math, Econometrics are an advantage
- Knowledge in Statistical Software (Stata or SPSS or Matlab or Eview or R or Python)
- PhD or Master’s degree in a quantitative field (Econometrics, Computer Science, Business Administration, Quantitative Marketing) with a specific emphasis on statistics/(big) data mining/supply chain
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Data Science Consultant Job Description
Job Description Example
Our company is searching for experienced candidates for the position of data science consultant. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data science consultant
- Supporting in the development of new AI-based software solutions and products
- Provide Subject Matter Expertise on a range of analyses including descriptive, predictive or prescriptive use-cases
- Interact with other functional specialists in a professional manner and respond quickly to requests
- Train and supervise Junior Data Scientists
- Develop collateral for analytical based solutions
- Write-up and deliver results in formal client presentations
- Research and bring innovations to develop next generation solutions in core functional areas related to digital marketing & customer experience solution blocks - Content and Commerce, AdTech, Customer Relationship Management (CRM), Campaign Management
- Frame Problems with Stakeholder, research and construct problem frames in order to understand the analysis context and scope that will provide timely, useful results
- Apply such knowledge validation, aggregation and reconciliation techniques to create rich modeling-ready data framework
- Understand the customer’s business need and build a solution using our AWS AI Services, Platforms, Frameworks and AWS AI EC2 Instances
Qualifications for data science consultant
- Knowledge of cloud-based solutions such as Azure, Cortana
- Perform and develop statistical models and improve model performance and flexibility
- Work with offshore consultants
- Experience of statistical software, scripting languages, and packages
- Experience in visualization tool like Tableau
- Knowledge of or experience working with database systems
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Data Science Consultant Job Description
Job Description Example
Our growing company is hiring for a data science consultant. 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 consultant
- High degree of experience in applied Data Science within research domains
- Demonstrated experience with machine learning tools and techniques
- Assist customers by building ML / DL project, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization
- Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models
- Extended travel to customer locations may be required to deliver professional services, as needed
- As the functional engagement lead, you will work with stakeholders to develop problem statements, establish / test hypotheses, liaise with business stakeholders and advocates to track/deliver use cases
- You will work with a team of data engineers and SMEs to test, refine quantitative models at the POC level, and scale for the population with stakeholder sign-offs
- Collaboratively identify and define appropriate data for analysis
- This individual will leverage large volumes of data inputs (surveys, social, voice of sales, quality data, financial performance, repurchase behavior, voice of field, product surveys, loyalty metrics ) to develop the single-source of truth for the state of our relationships with our customers
- He/she will lead reviews and share insights, including moments causing defection and loyalty across sales, marketing, services, and operations
Qualifications for data science consultant
- Big data technology tools such as Hive, SQL, R, Python and Hadoop
- Experience with analytic tools such as SAS, R-Studio, Jupyter Power BI, Power Pivot
- Deep hands-on experience with at least one commercial analytic tool
- Should be well versed in different modeling techniques, application and implementation – logistic regression, cluster analysis, discriminant, DEA, time series, neural networks, survival analysis
- Hadoop cluster utilizing map/reduce, Pig, Hbase, Hive, Spark/Storm and Scoop
- Relational Database experience such as Oracle