Lead Data Scientist Job Description
Lead data scientist
provides expertise in big data analytics from a data science and data engineering perspective (expertise in data manipulation, visualization, building and optimizing classifiers using machine learning and deep-learning based techniques).
Lead Data Scientist Duties & Responsibilities
To write an effective lead data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included lead data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Programming skills in languages like SAS, R and Python
Work closely with product teams to implement algorithms with R and/or Python
Leads prototyping (what –ifs) supporting pilot programs for R&D purposes
Breadth of knowledge across statistical methods and machine learning algorithms
Familiarity with large scale data processing tools like Hadoop and Spark
Design and implement able to scale predictive models, classifiers leveraging machine learning, data regression
Establish strong relationships with all stakeholders and ensure work is prioritised according to business need and opportunity
Works on a portfolio of projects
Perform research and analysis on large data solutions
Collaborating with executive leaders and business owners, the Data Scientist will be leading teammates to solve business problems using broad spectrum of data science tools, packages and visualization techniques
Lead Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Lead Data Scientist
List any licenses or certifications required by the position: II, IAT, GIAC, ITIL, MCTS, MCSE, CCSP, CCNP, CCDP, CCNA
Education for Lead Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the lead data scientist 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, Economics, Engineering, Science, Physics, Technical, Math, Education
Skills for Lead Data Scientist
Desired skills for lead data scientist include:
SQL
Statistics
R
Python
Advanced analytics tools and languages to analyze large data sets from multiple data sources
Machine learning
Spark
Math
Deep learning
Data mining
Desired experience for lead data scientist includes:
Strong analytical background, preferably statistics part of the academic curriculum
Excellent presentation and communication skills - particularly strong in visualising and presenting complex data and analytical findings to non-technical audiences
Asking the right questions, and doing whatever it takes to answer them
Analyzing various kinds of data and concluding actionable insights
Independent research and innovation in new content and technological domains, while supporting existing projects
Broaden the analytic playing field by using a wide range of research tools and methods, including applying scientific knowledge where relevant
Lead Data Scientist Examples
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Lead Data Scientist Job Description
Job Description Example
Our innovative and growing company is looking for a lead data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for lead data scientist
- You will be responsible for managing the Data Science Cloud environments
- Understanding of the business challenge resp
- Help drive business decisions in areas such as product pricing, customer segmentation, product development, capital deployment and forecasting of customer behavior
- Create compelling visualizations to communicate insights to executive management
- Define new business metrics if required and build measurement systems if needed
- 5+ years of Data Analysis experience with at least 3 years commercial experience
- Depth of knowledge in advanced analytics methods such as Support Vector Machines, Bayesian Inference, Markov Chain Monte Carlo simulations, and more
- Ability to partner and become a trusted advisor to commercial, information and data leaders in the business
- Ability to uncover commercial opportunities within customers
- Ability to select the appropriate analytical techniques based on the characteristics of a problem
Qualifications for lead data scientist
- The role encompasses acquisition and application of vast knowledge areas over a short period of time and requires a strong sense of personal responsibility
- Strong coding skills & hands-on Big Data experience
- Expert proficiency in implementing models in SAS or R
- Strong, demonstrated skill in data management technologies, architectures, and processes
- Professional certification in Certified Information Systems Security professional (CISSP)
- Strong depth in applying information system security, data system security, and risk management practices with the IC
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Lead Data Scientist Job Description
Job Description Example
Our company is looking for a lead data scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for lead data scientist
- Review and approve methodologies used for advanced analysis projects (predictive models, clustering/segmentation, etc) by junior team members and others
- Leads complex projects using wide breadth of data sciences and advanced techniques
- Manages the review, revision and maintenance of existing internal procedures to ensure quality and efficiency
- Determine appropriate methods, prove viability of selected method and educate internal teams as to the analytical foundation
- Leads large scale projects that utilize online & offline data, structured & unstructured data, set top box data (media/behavioral/attitudinal) to build customer centric models and optimization tools
- Develop strategy and business requirements for a Supply Chain data repository to consolidate multiple ERP data sources into a comprehensive source for analytics
- Partner with the IT organization on the development and implementation of algorithms required to extract and cleanse data into the Supply Chain data repository
- Develop and implement optimization programs to improve planning outputs for manufacturing and distribution opertations
- Manage team of data scientists and analyst to achieve key deliverables
- Will extract and analyze data from internal databases from external data (i.e.OnCommand systems, GPS, weather, demographics, telematics)
Qualifications for lead data scientist
- Looking for individuals with deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project based environment on strategic issues
- Strong record of professional accomplishment and leadership
- Bachelor’s in Social Science, Statistical or Similar Field with 2-5 years experience, Master’s or Doctoral Degree in Social Science, Statistical or Similar Field preferred
- 5-7 years of experience in Call Center or Research function
- Experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive)
- At least 10 years work experience in hands-on use of statistical packages
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Lead Data Scientist Job Description
Job Description Example
Our company is searching for experienced candidates for the position of lead data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for lead data scientist
- Ensures that the team addresses the client’s needs
- Oversee and guide consultant teams during projects
- Provide exemplary leadership in a challenging and rewarding environment and influence the organization
- Conduct research and lead research collaborations that yield new insights, theories, analyses, data, algorithms and prototypes and that advance state-of-the-art of advanced threat protection
- Help maintain and improve model development tool
- Demonstrate technical competence in the interpretation of test methods and specifications
- Understanding of laboratory cGMPs and change control management systems
- Responsible for data capture
- Provide daily guidance to the analysts in the various work activities
- Track and report progress of EMPOWER program implementation status to management and escalate technical or execution issues
Qualifications for lead data scientist
- Expert at SQL and query tuning on databases, having experience with columnar storage and MPP/Analytical DBs (Redshift, Netezza, etc) is preferred
- You can write code literally blindfolded in Python (required)
- Interest in Data Science and Machine Learning
- Knowledge of machine learning and data analysis packages such as SciPy/NumPy/MatplotLib, R or SAS
- Familiar with using AWS cloud environment
- Familiar with GitHub or any other source/version control and understanding concepts of continuous integration
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Lead Data Scientist Job Description
Job Description Example
Our growing company is hiring for a lead data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for lead data scientist
- Communicates well with technical and non-technical audiences, and contributing modeling expertise as a thought leader
- Work on a wide variety of challenges in search/information retrieval, natural language processing and, unsupervised and supervised learning problems
- Together with a team of developers, you will be integral to projects that build full stack internal applications that we use company-wide
- Lead the design and development of analytic solutions that empower HBO to make key strategic decision regarding the acquisition and retention of customers
- Manage a dynamic team of talented junior data scientist in the development of analytic solutions under your responsibility
- Work with analytic capabilities and Technology teams to transfer knowledge and processes into production environment
- Foster a shared purpose among team members that enhances the capabilities of the team by building a collaborative learning environment
- Data science lead in Veracity related analytics projects
- Lead analytics workshops with providers and consumers
- Work with the Veracity product engineering team for inbuilt platform analytics support
Qualifications for lead data scientist
- Working knowledge of traditional data storage technologies, relational databases, SQL, and ETL tools
- Masters or PhD in relevant courses of study (e.g., Statistics, Mathematics, Computer Science, Physics)
- Knowledge of SQL or willingness and ability to learn SQL - required
- Self-motivated and gets stuff done
- Entrepreneurial - comfortable talking to stakeholders to understand business needs, running small tests to validate assumptions, and refining requirements based on results
- Basic knowledge of the UNIX/LINUX environment (basic usage, ability to use tools like grep, sed, and awk to parse data)
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Lead Data Scientist Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of lead data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for lead data scientist
- Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption and contribute to subscriber churn
- Utilize tools such as R, Python, to perform complex data analysis and visualizations
- Stay informed of advancements in applying statistical and machine learning methods to marketing applications and related data/analytics processes and businesses
- Build and maintain staffing models to include internal and outsourced efforts
- Evaluate technical tradeoffs of strategic decisions and serve as SME with informed rationalization
- Oversee the development of the technology stack that will enable data exploration, analysis and reporting
- Lead detailed analysis to support product enhancements and key initiatives
- Represent Product Enhancement in meetings and in interactions with other departments
- Oversee end to end implementation of product solutions
- Ability to evaluate current methodologies quickly to identify opportunities for enhancement
Qualifications for lead data scientist
- Create advanced analytics models using statistical and machine learning methods
- Proven research background, in academic or industrial work, with an emphasis on delivering practical research that has a critical impact on multiple projects
- Awareness of business objectives and ability to apply this understanding to recommend and implement product development for difficult and complex technical issues
- Comfort working within a modern engineering environment (System architecture, Java, MySQL, multithreaded programming)
- Ability to script experimental solutions and use off-the-shelf statistical analysis tools
- Experience with large scale algorithm challenges in the consumer Internet space