Director, Data Science Job Description
Director, Data Science Duties & Responsibilities
To write an effective director, data science job description, begin by listing detailed duties, responsibilities and expectations. We have included director, data science job description templates that you can modify and use.
Sample responsibilities for this position include:
Director, Data Science Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Director, Data Science
List any licenses or certifications required by the position: TDWI, PMP, SAS
Education for Director, Data Science
Typically a job would require a certain level of education.
Employers hiring for the director, data science 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, Economics, Science, Physics, Graduate, Machine Learning, Math
Skills for Director, Data Science
Desired skills for director, data science include:
Desired experience for director, data science includes:
Director, Data Science Examples
Director, Data Science Job Description
- Drive key analytics projects including forecasting and testing, response and propensity modeling, advanced customer segmentation using advanced statistical techniques, marketing mix analytics and other initiatives – and achieve the right balance between statistical and non statistical approaches
- Partner with cross functional business partners to leverage data science to drive our business
- Partner with the Global Customer Data Management team to drive an innovation roadmap for the enterprise management and analysis of data (both customer and non)
- Drive operating improvements by developing key hypotheses and the data analysis and insights to support/disprove them
- 7 – 10 Years professional experience with focus on customer centric and/or digital data
- Serves as strategic leader of a functional area within the organization (e.g., marketing, operations, care, ) that has rapport with senior leaders to achieve departmental objectives
- Drive key analytics projects including customer intelligence deep dives, direct to consumer email/direct mail response/propensity modeling, advanced customer segmentation using clustering/PCA, marketing mix analytics and other initiatives and achieve the right balance between statistical and non statistical approaches
- Partner with cross functional business partners to leverage customer intelligence to drive and optimize online and in-store experiences
- Engage with the executive team to understand the business priorities
- Lead small to large projects that inform both day-to-day tactical decisions and long-term strategic vision
- Advanced statistical methodology, data mining, Bayesian networks, probabilistic models
- SQL, Tableau or similar data visualization tools and SiteCatalyst required
- Well-developed communication skills are required as internal and external presentations are frequent
- 12+ years of experience building advanced analytics solutions in the industry using techniques from machine learning, data science, statistics, optimization, large scale computing
- 5+ years leading teams of data scientists, ML scientists, solution architects, developers
- Experience and knowledge of big data ecosystem including Hadoop, Spark
Director, Data Science Job Description
- Lead an existing team of three analysts and data science professionals
- Thoroughly understands conflicting interests within their product area and beyond
- Wins as a team by creating alignment between Data Science, Engineering, Implementation, Marketing and Sales teams
- Evangelizes the product vision and drives product in market aligned with IMH and company objectives
- Proactively takes product or process initiatives that have material impact on Krux's goals and strategy
- Supports and collaborates with Business Development team to engage and extend Krux's ecosystem of data partners
- Describing the structure and behavior of a big data / advanced analytics solutions and how solutions can be delivered using big data technology
- Linking the solution requirements between the big data scientists and the big data engineers
- Managing the full life-cycle of the solution including requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment of the proposed solution
- Conduct cross-channel digital ROI Analytics and make recommendations for marketing/site/store ROI improvement, spending optimization retention programs and targeting
- Advanced skills in statistical programming and coding
- 8+ years of experience in the Data Science and Analytical Domain
- Working knowledge in at least one high level programming language (eg
- Experience with Visualization tools such as QlikView and Tableau
- Knowledge on batch and streaming data sources with structured and unstructured data
- Masters or Ph.D degree in one of Computer science, Economics, Mathematics, Statistics, Electrical engineering, , Physics, Computational Biology, Bioinformatics
Director, Data Science Job Description
- Responsible for data delivery from both internal and external sources
- Work closely with Strategy & Marketing IS teams to collaboratively assess, understand improve and deliver rich data content for analysis
- Thorough understanding of data gathering, storing, and retrieval methods
- Comfort with visual art and design to turn statistical and computational analysis into user-friendly graphs, charts, and animations
- Defines project deliverables, timelines and dependencies (team members, internal stakeholders, clients)
- Manages team performance, sets the vision/ strategy and facilitates team operations to deliver timely, quality deliverables
- Leads (and is the voice of) local/national
- CI by driving CI initiatives
- Recruits/retains high-performing individuals
- Provides thought leadership internally/ for clients
- Extensive of experience building advanced analytics solutions industry using techniques from machine learning, data science, statistics, optimization, large scale computing
- Experienced in building analytic solutions in customer-centric domains like Consumer Mobile, Telecom, Retail, Finance, Healthcare, Marketing, IoT scenarios
- Educated to degree level or equivalent in Statistics, Advanced Analytics, Data Science or related subject
- Experience with modern data science tools such as Spark, Hadoop, Storm
- You know how to evaluate speed vs
- 7+ years experience in data science and analytics, ideally working with a consumer product
Director, Data Science Job Description
- Work with the business to understand requirements, and use your software engineering, machine learning, recommender system, and natural language processing expertise to make strategic recommendations to create solutions
- Lead a team of 12 Data Scientists, Machine Learning Engineers and BI Developers, providing vision, direction, and day-to-day management
- Aid in the development of predictive modeling and machine learning solutions that continually improve with the collection of real-time dealer and salesperson results from product portfolio
- Authors white papers, POVs and other industry thought capital
- Functions as SME in a domain (mobile, performance marketing, ecommerce, web analytics or social)
- Lead multiple data science and engineering teams to deliver
- Work with product strategy & product management teams to
- Develop and maintain three-year technical roadmap for data, reporting and analytics capabilities that supports CCNA strategic business priorities
- Effectively deliver multiple, large-scale projects in CCNA to support implementation of business intelligence, data and analytics capabilities and solutions
- Align products and solutions with overall IT architecture standards and frameworks
- Expert level in R, Matlab or a similar environment
- A deep understanding of social media platforms, video platforms, and user behavior
- A gift for distilling complex and seemingly arcane analytics into clear, accessible, actionable insight
- Hands-on experience with Python and SQL, and ideally Redshift and BigQuery
- A love for telling stories with data, and an appreciation for both the power and limits of data
- Have deep experience in software engineering, and particularly human-to-machine interactions
Director, Data Science Job Description
- Continuously raise the caliber of talent within the team
- Leverage statistical modelling and programming skills to derive business actionable insights out of large and/or structured, semi and unstructured datasets
- Evangelize capability with business and technology stakeholders and identify engagement opportunities
- Collaborate with business and data owners to identify key business use cases and POCs whose solution would be impactful to the business
- Collaborate with stakeholders to set analytic objectives, approaches, and work plans
- Own strategic direction and delivery for the Data Science vertical within the Strategy and Analytics team
- Create new analyses, models, and/or tools that deliver insights that enable the business partners to further their objectives
- Manage a pipeline of projects/products and their on-time delivery
- Consult with and deliver results to partners within tight time constraints that consistently meet or exceed the expectations of the client
- Contribute to the success of other team members by providing training and leadership in thought generation, analysis, coding, and mentorship
- Be a wrangler and a do-er
- Have a passion for our mission
- Bachelors degree in Statistics, Social Science, Operation Research, or other hard sciences
- 8+ years’ experience in developing machine learning and statistical models at scale
- Experience working with labelled/unlabeled data, working with missing data, importance sampling, Bayesian regression, multivariate regression, GLM Models, hierarchical Bayesian models, probabilistic graphical models and/or latent variable models
- Experience in Advertising Technology highly desired