Sr Data Engineer / Data Scientist

IT TrailBlazers; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading data solutions company in New York is seeking a Data Engineer/Scientist with a strong background in statistical data analysis and machine learning. The ideal candidate will have 5–7 years of experience, a Bachelor’s degree in Computer Science, and excellent communication skills. This role involves working with large datasets, building analytical solutions, and mentoring team members. Candidates should be comfortable with 80% travel. Competitive salary and benefits are offered.

Qualifications

• Minimum of 5–7 years of experience in software development.
• Strong command of English language (both verbal and written).
• Ability to manage 80% travel.

Responsibilities

• Find insights from large complex data sets.
• Build complex algorithms to process data.
• Provide self-serve analytical solutions to users.

Skills

Statistical data analysis

Machine learning

Data mining

Agile software development

Data visualization

Big Data technologies

SQL

Communication skills

Education

Bachelor’s degree in Computer Science

Master’s degree preferred

Tools

SAS

SPSS

MATLAB

R

Tableau

SQL databases

Job description

The Data Engineer/Scientist has a real passion for finding opportunities in data. He uses already established tools and techniques or innovates new ones to get insights from large complex data sets. He will have contributed to large data‑centric projects, participated in technical communities, interest groups or spoken publicly about their innovation and ideas. Despite having 5 to 10 years of experience, a Data Engineer/Scientist at Client will still be an active technician: tinkering with new Big‑data solutions, using unfamiliar technologies without supervision and learning new tools and techniques in their spare time, etc.

We are looking for following core capabilities in our Data Engineer/Scientist

• Proficient in statistical data analyses, machine learning, data mining & optimizations using multiple tools and technologies on large complex data sets
• Easily build the complex algorithm and logic to process data
• Embrace the agile software development environment
• Provide self‑serve analytical solutions to users to analyze medium to large datasets and run mathematical models without need of IT resources
• Practitioner of statistical data quality procedures or test‑driven approach for quality assurance; develop software ensuring proper data quality controls at all levels
• Work with large volumes of data, well versed with performance tuning and able to optimize the application at all of its layers
• Build BI and reporting solutions including data warehousing, data modelling, ETL, etc.
• Enjoy research and implementation of solutions on mobile technology
• Have a public community presence through either publications or blogs
• A good learner, but at the same time a good mentor who inspires peers and more junior team members to learn and expand their skill set, guiding them in the right direction
• Possess excellent communication skills, able to visualise and report data findings creatively in a variety of formats to various stakeholders

Requirement: Bachelor’s degree in Computer Science with Mathematics and Statistics or equivalent subject, Master’s preferred. Minimum of 5–7 years of experience in software development. Strong command of English language (both verbal and written). Can manage 80% travel.

Technical skills and experience

Proficiency in statistical data analysis and data mining packages SAS, SPSS, MATLAB, R, STATA, Excel, etc. Knowledge or experience on Big Data platforms like Hadoop, HBase, CouchDB, Hive, Pig, etc. Worked with Teradata, Oracle, MySQL, Informatica, Tableau, QlikView or similar reporting and BI packages. Used SQL, PL/SQL and similar languages, UNIX shell scripting. Experienced with data modelling, design patterns, building highly scalable and secured solutions. Knowledge of agile software development process. Familiarity with performance metric tools. Knowledge of web application development technologies such as Ruby on Rails, Java, UNIX, HTML, CSS, Perl or PHP a plus.

Non‑technical competencies

Demonstrate enthusiasm, influence and innovation. Strong analytical and problem‑solving skills paired with the ability to develop creative and efficient solutions. Tolerance in dealing with bad quality data. Distinct customer focus and quality mindset. Ability to work at an abstract level and gain consensus. Ability to see from and sell to multiple viewpoints. Excellent interpersonal, leadership and communication skills. Ability to work both independently and in various team settings. Ability to work under pressure with a solid sense for setting priorities. Ability to manage own learning and contribute to domain knowledge building.

Additional Information

All your information will be kept confidential according to EEO guidelines.