Senior Data Scientist (offline)

• Master’s degree (preferred) with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology and Econometrics, etc.) and 5 years of experience working in a data analytical or computer programming function
• Working knowledge of relational databases and standard SQL query methods
• Proficiency in at least one general programming language such as r, Python, Java or C/C++
• Experience working with big data within a Hadoop environment
• Experience working with R, SAS or other statistical packages
• Advanced experience with statistical, econometric or data-mining tools and methods
• Experience with supervised /unsupervised learning , linear regression, generalized linear regression, logistic regression , decision trees , random forests and ensemble methods
• Experience with high-performance Deep Learning frameworks such as TensorFlow, PyTorch, Theano
• Strong oral, written, and interpersonal communication skills and an ability to work in a collaborative team setting
Responsibilities
• Leverage R, Python, SQL, & Excel to dig into data to extract meaning from information. Interface closely with business teams to understand/define requirements, domain knowledge/models, and data needs.
• Supports analytics projects and collaborates with cross-functional stakeholders to complete end-to-end analyses that includes business requirements, data gathering, analysis, scale-able solutions deliverables, including visualizations and presentations
• Advanced-level knowledge and skills in data modeling, data structure, and the application of complex SQL queries with data from multiple sources, including a Big Data platform (e.g., Hadoop, AWS, Azure)
• Conceptualize problems, apply appropriate theory, explore approaches, simulate, and implement AI /ML models
• Define data needs, evaluate data quality, and extract/transform data for analytic projects and research
• Demonstrate a strong understanding of project scope, data extraction methodology, design of dependent and profile variables, logic and design of data cleaning, exploratory data analysis and statistical methods
• Produce timely and error-free deliverables in an efficient manner, managing multiple tasks and varying project scopes
• Explore and analyze source data and data flows, working with both structured and unstructured data; Manipulate high-volume, high-dimensional data from a variety of sources to identify value-generating patterns, anomalies, relationships, and trends
• Utilize analytical applications like Python/R and recent Big Data technologies (Hadoop/Spark) to identify trends and relationships between different pieces of data, draw insightful conclusions and translate those analytical findings into next generation control algorithms

About TrendLine

Trendline Global is software development company with a formula for success built around teamwork, loyalty, dedication, and culture.

Founded in 2010, today TrendLine has established as fast growing outstaffing company with over 250 projects delivered and a satisfaction of over 100 customers. Now, TrendLine is also provide custom web and mobile software development services and digital marketing support. We are dedicated, people-oriented and we deliver the best.

The company comprises talented, passionate, innovative and dedicated employees and consistently searches for top talented employees who are willing to take on challenging projects and evolve in their areas of expertise. As a company we embody teamwork, creating a joyful atmosphere where we are free to share our thoughts and ideas.

Take a dive into our company and experience what you have always wished a perfect job should be like.

We offer a flexible working schedule and a great salary with juicy compensations.
Our work-stations are a dream for any employee, fully equipped with everything you need to make the job as easy as possible.

We ensure our teams and clients speak the same language, that’s why we organize English courses for our employees.

As an employee at TrendLine, you would relish every single moment of your work with us. We value everyone we work with...customers and employees alike.

Company website:
trendlineglobal.net

DOU company page:
https://jobs.dou.ua/companies/trendline/