Data Scientist, Big Data Job Description
Data scientist, big data
provides domain and technical expertise for multiple advanced analytical techniques, such as data mining, machine learning, geospatial analysis, natural language processing, and predictive modeling.
Data Scientist, Big Data Duties & Responsibilities
To write an effective data scientist, big data job description, begin by listing detailed duties, responsibilities and expectations. We have included data scientist, big data job description templates that you can modify and use.
Sample responsibilities for this position include:
Leads development of analytical models using statistical, machine learning and data mining methodologies
Apply data analysis, data mining and data engineering to present data clearly and develop experiments (ab testing)
Lead and participate in the execution of data related use cases with focus on data mining, forecasting, modeling, reporting, dashboarding
Create statistical and machine learning models in multiple technologies to support client goals
The Data Scientist will be diving into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of predictive models of customer behaviors and TV product performance
Unleashing your creativity to find hidden gems that improve our understanding of TV and internet that will drive actionable business decisions
Collaborating with teammates to solve business problems, the data scientist will be using a broad spectrum of data science tools, packages and visualization techniques
Perfecting your knowledge and expertise in the big data ecosystem to build efficient and scalable analytical solutions
Executes standard exploratory and ad hoc data analysis
Applies cleansing, discretization, imputation, selection, generalization to create high quality features for the modeling process
Data Scientist, Big Data Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Scientist, Big Data
List any licenses or certifications required by the position: GCP
Education for Data Scientist, Big Data
Typically a job would require a certain level of education.
Employers hiring for the data scientist, big data job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Mathematics, Engineering, Science, Math, Technical, Machine Learning, Physics, Economics
Skills for Data Scientist, Big Data
Desired skills for data scientist, big data include:
Data mining
Information retrieval
Econometrics
Machine learning
Natural language processing
Operations research
PhD
Statistics
Aerospace & Defense industry
Applications and Processes and data constructs
Desired experience for data scientist, big data includes:
Uses big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects
Utilizes Hadoop, SQL and NoSQL languages, tools and technologies to extract and process data for analytical needs
Diving into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of predictive models of customer behaviors and TV product performance
Collaborating with executive leaders and business owners, leading teammates to solve business problems using broad spectrum of data science tools, packages and visualization techniques
Using your deep knowledge of the big data ecosystem to build efficient and scalable analytical solutions
Discovering and implementing new tools and technologies to keep current with the trends and advances in the data science community
Data Scientist, Big Data Examples
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Data Scientist, Big Data Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data scientist, big data. 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 scientist, big data
- Apply expertise in qualitative analysis and data mining
- Create and design BigData Architectures and Machine Learning processes
- Bringing strategic vision to the team and serving as a subject matter expert in the capabilities of Data Science
- Defines new approaches to feature engineering, extraction and learning
- Collaborates with the data architects of various data platforms (big data, relational and non-relational) to define requirements for data architecture enhancements and new data ingestion
- Utilizes Big Data Analytical tools and packages to design and build highly scalable analytical models
- Leads the analysis and formalization of the business problems
- Leads the team in adoption of new analytical algorithms, tools and technologies
- Lead and participate in the design and implementation of Big data and BI solutions using Hadoop and Apache open source components enterprise grade BI and analytics solutions from leading vendors
- Develops data architectures strategies, principles, standards and frameworks
Qualifications for data scientist, big data
- Experience manipulating large data sets through statistical software (ex
- 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
- Five years of professional experience working as a Data Scientist
- Proficiency in analysis
- Define solutions to solve the data processing and analysis
- Experience with data analysis tools including Tableau, R
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Data Scientist, Big Data Job Description
Job Description Example
Our innovative and growing company is looking for a data scientist, big data. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data scientist, big data
- Assist with technical design for solutions to business requirements
- Document designs and implementation
- Planning, preparing and executing proof-of-concepts of the solution using the prototype and refining the solution based on external feedback
- Partner with clients and Think Big Delivery Leads to successfully delivery data science solutions, including associated documentation and presentations
- Open-source big data frameworks such as Apache Drill and Hadoop
- Advise the analytics modelling managers on best practice methodology for Big Data Analytics
- Support a community of data scientists across OpCos
- Build Data Products (50% technical hands-on work and 50% business design)
- Bring expertise with regards to functional and technical building
- Bring knowledge of real time applications (Erlang, Scala) and BigData / NoSQL DB (ElasticSearch)
Qualifications for data scientist, big data
- STRONG programming background (R /Python/Scala preferred)
- Knowledge of pricing and revenue management theory and practice
- Experience in developing pricing decision science project
- Hands on experience working with Big Data ecosystem (Hadoop/Spark)
- MS degree in Computer Science, Operations Research, Mathematics or Physics required
- 5+ years of professional experience in this area
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Data Scientist, Big Data Job Description
Job Description Example
Our growing company is hiring for a data scientist, big data. 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 scientist, big data
- Support specific Data Products projects (integration with billing, provisioning)
- Support customers in Data Products integration and delivery activities
- Develop and enhance the product roadmap
- Design standard and processes for Data Management
- Use Hadoop to performce analysis of data
- Use ETL/MetaData tools to process data from various sources
- Comfortable working in a fast paced agile environment, closely interacting with some of industry’s best software engineers and data scientists, along with business partners
- You will closely work with our “Big Data for Space” transverse group of engineers
- You will also support all the Big Data activities of the Telecom domain
- Research and development of big data analytics platform for data integration, extraction, segmentation, visualization and analysis of large amount of unstructured data
Qualifications for data scientist, big data
- Knowledge of machine learning techniques (supervised and unsupervised), optimization modeling (convex optimization), reinforcement learning or dynamic programming
- Knowledge of basic statistic testing and descriptive statistics
- Demonstrated track record of architecting, developing and delivering large-scale software solutions
- Ability to work in different database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, ), RDBMS and NoSQL
- Excellent communication skills are a must (writing, presenting)
- Proficiency in analysis packages
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Data Scientist, Big Data Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of data scientist, big data. 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 scientist, big data
- Implementing any Big Data tools and frameworks required to provide requested capabilities
- Implementing ETL process taking data from different sources (relational databases, logs )
- Motivate, lead, and manage a team of data scientists to help the Think Big Analytics organization meet revenue goals and deliver high quality and high value solutions
- Take responsibility, drive new developments, and work creatively on challenging and groundbreaking development tasks in accordance with the highest technical standards
- Transfer innovative solutions from a piloting phase into a sustainable and scalable software solution for global and cross-business usage
- Mentor and coach other team members and support their functions by providing expertise and insights into data and computer science
- Liaise with internal business and corporate units, and translate their analytical needs into initiatives
- Create meaningful reports and dashboards using traditional and visualization tools and execute daily, weekly, monthly and ad-hoc reports
- Deliver and present reports and data to management and the entire organization
- Assist in identifying and delivering on new reporting capabilities
Qualifications for data scientist, big data
- Master’s or Ph
- Strong proficiency in parallel computing & distributed algorithms
- Data Science candidates shall have a Master’s or PhD in a data science field
- Experience and passion for finding solutions to real world, applied problems
- Expertise working with large industrial scale data sets, and the ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data
- Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience
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Data Scientist, Big Data Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of data scientist, big data. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data scientist, big data
- Manage and guide a team of ML engineers that work with data scientists to build end-to-end machine learning and analytics solution to solve business challenges
- Work on NTTDATA’s Big Data accelerators and Machine Learning Framework
- Develops parallel data-intensive systems using Big Data technologies
- Works with the full open source Hadoop stack from cluster management, to data repositories, to analytics software, to schedulers
- Works in on-premises or public cloud environments to build scalable systems
- Determines the appropriate database given the data and analytics needs, whether file structures such as HDFS, relational databases including NewSQL, non-relational NoSQL databases including in-memory databases
- Optimizes the distribution of data across nodes and the performance of NoSQL repositories
- Identifies performance bottle-necks and evaluates scaling benchmarks
- Developing new technologies in the areas of predictive modeling, simulation, and outcome management
- Conducting research, designing, developing and evaluating first-of-kind data analytics solutions to provide real time diagnostics and therapeutic decision support applications
Qualifications for data scientist, big data
- Expert-level skills and abilities within field of knowledge, and demonstrated ability to develop new ideas from inception to prototype
- Accomplished R programmer, and experience coding with other languages such as C/C++, Python, and Java
- Experience with modern data management systems like Hadoop, NoSQL, and Spark
- Candidates with 5+ years of relevant experience may be considered for a more senior position
- Ph.D degree in computer science or related fields and with 3+ years working experience
- PhD in Computer Science or Computer Engineering with an emphasis on Distributed