Data Scientist

Requisition Number: 202593

External Description:

Teradata empowers companies to achieve high-impact business outcomes through analytics. With a powerful combination of Industry expertise and leading hybrid cloud technologies for data warehousing and big data analytics, Teradata unleashes the potential of great companies. Partnering with top companies around the world, Teradata helps improve customer experience, mitigate risk, drive product innovation, achieve operational excellence, transform finance, and optimize assets. Teradata is recognized by media and industry analysts as a future-focused company for its technological excellence, sustainability, ethics, and business value.
The Teradata culture isn’t just about one kind of person. So many individuals make up who we are, making us that much more unique. It’s what sets apart the dynamic, diverse and collaborative environment that is Teradata. But even as individuals, there’s one thing that we all share —our united goal of making Teradata and our people the best we can be.

Primary Responsibilities:

As a Data Scientist , you will perform analysis, and be responsible for implementation and support of large scale data and analytics for our clients. You will work in a team whose data science efforts range from exploration and investigation to design and development of analytic systems. Your technical leadership is extracting meaning from large scale, unstructured data is coupled to your ability to work with engineering teams to integrate and underlying systems as Think Big provides Big Data solutions to clients.

Secondary Responsibilities:

Additional responsibilities will include providing big data solutions for our clients, including analytical consulting, statistical modeling and quantitative solutions. Mentor sophisticated organizations on large scale data and analytics and work closely with client teams to deliver results. You will help translate business cases to clear research projects, be the exploratory or confirmatory, to help our clients utilize data to drive their businesses. Collaborate and communicate across geographically distributed teams and with external clients.

Job Qualifications:

-Coursework in mathematics, statistics, machine learning and data mining.
-Proficiency in Python. Java, R and C++ is a nice to have as a secondary programming language.
-Excellent programming skills in object-oriented languages.
-Knowledge on R or Matlab. 
-Adept at learning and applying new technologies.
-Able to estimate time needed to complete assigned tasks and deliver in that time period.
-Excellent verbal and written communication skills.
-Strong team player capable of working in a demanding start-up environment.

Preferred Knowledge, Skills and Abilities:

-Machine Learning Model training and evaluation.
-Able to implement Neural Network based solutions.
-Core programming, text file manipulation, and statistics with Numpy, Pandas, Scikit or other approved modules.
-Data frames, data manipulation, and objects.
-Command line, pipes and remote terminals.
-Generating data profiles including measures of central tendency, measures of deviation, and correlations in R, Python or other “non-big-data” technologies. Generation of basic charts (e.g. histograms, scatter plots, line charts) for data analysis purposes.
-Generating data profiles including measures of central tendency, measures of deviation, and correlations over Hadoop & Spark or other approved big-data technology. Generation of basic charts (e.g. histograms, scatter plots, line charts) for data analysis purposes.
-Design, develop and implement dashboards & reports using R-Shiny, python Notebooks, Zeppelin or other approved open-source visualization technology.
-Calculating and interpreting ANOVA models, ANCOVA models, hypothesis tests, and confidence intervals.
-Creating and interpreting at least one type of each of these statistical models: GLM, CART, ensembles.
-Creating and interpreting one of these models: k-means, hierarchical agglomerative clustering, or approved other clustering model.
-Able to write technical reports for projects and/or internal collateral for training or internal assets.
-Able to write non-technical documents that describe our offer (or solutions) for non-technical audience. This can include a delivery presentation for non-technical audience, a conference presentation or marketing material.

Job Abilities:

Candidates must be able to take part of a technical discussion in English. Must be able to sit for long periods of time working on computers. Must be able to interact and communicate with the client in meetings. Must be able to write programming code in applicable languages. Must be able to write project documentation and to take part of a technical discussion in English.

Education:

Bachelor's Degree in Computer Science or related field of study or equivalent work experience. Employer will accept any suitable combination of education, training, or experience.

CountryEEOText_Description:

City: Rome

State: Lazio

Community / Marketing Title: Data Scientist

Job Category: Consulting

Company Profile:

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

LinkedIn Remote:

Location_formattedLocationLong: Rome, Lazio IT