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Senior Data Analyst
hace 7 meses
Job Description:
Trigyn has a contractual opportunity for a Senior Data Analyst. This resource will be working Remotely at our client site.
Job Responsibilities:
Works with a multidisciplinary team to design, develop and create analytical solutions through applications of Data Analytics, Data Mining, Data Visualization, Machine Learning, Neural Nets and other areas of Artificial Intelligence.
Required Skills:
· A minimum of 5 years. experience in data science;
· Provide analytical capabilities beyond traditional predictive modelling including machine learning
and artificial intelligence.
· Capacity to provide hands-on as well as guidance and mentorship to members of a team.
· Understand business needs and apply data science, artificial intelligence and machine learning
technology to solve business problems.
· Ability to build and optimize models using machine learning techniques including feature selection and engineering, boosting, deep learning and ensembles.
· Provide expertise on techniques including regression, classification, clustering, machine vision,
natural language processing, deep learning, and/or statistical modelling.
· Coordinate and integrate the work of data engineers, data scientists, statisticians, actuaries and
application developers.
· Analyse source data, working with structured and unstructured data.
· Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns,
anomalies, relationships, and trends.
· Obtain and create new data sets using data collection tools or scraping data from third party sources.
· Modelling: Ability to develop advanced models and interpret model results.
· Statistics: Understanding of advanced statistics underlying data models. Ability to apply new
statistical procedures to work.
· Strong ability and knowledge of database principles, data profiling, statistics and data modelling and can apply this knowledge in new or complex situations.
· Visualization: Ability to design interactive data interfaces for communicating stories with data and
unveiling insights within complex datasets.
· Manage multiple research and implementation projects simultaneously.
· Present analysis and recommendations to target audiences.
· Graduate degree in science, technology, engineering, or mathematics.
· Relevant statistical analysis work experience required.
· Strong computer programming language skills in multiple languages and data management tools.
With experience in one or more of the following: Machine Learning Libraries, TensorFlow,
PyTorch, Machine Vision, and Natural Language Processing, Python, R, Java, database tools, .,
SQL, Hadoop or Spark.
· Experience with data analytics suites of major vendors and data visualization tools such as Tableau,
QlikSense, MS Power BI, SAP Lumira and similar.
Other skills:
· Ability to understand organizational roles, mandates, and responsibilities.
· Creativity.
· Ability to build trust with clients.
· Ability to learn new topics autonomously.
· Experience with managing and contributing to open source software projects.
· Ability to take action in solving problems while exhibiting judgment and a realistic understanding of issues; ability to use reason; review facts, identify inconsistencies and weigh options; ability to make logical and timely decisions that address the right issues.