Data Scientist on Power BI

Titan Machinery owns and operates a network of full-service agriculture and construction equipment dealerships in the United States and Europe. Our primary new equipment manufacturer partner is the CNHi family of brands — including Case IH, Case Construction, New Holland Agriculture, and New Holland Construction.

TITAN MACHINERY UKRAINE is an official distributor of the agricultural equipment Case IH

Titan Machinery Ukraine is searching for Internal/external Data Scientist with focus on Power BI

Candidates are encouraged to submit applications in English with salary expectations.

Job description:

Work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. Design data modeling processes, create algorithms and predictive models to extract the data the business needs, and help analyze the data and share insights with peers. While each project is different, the process for gathering and analyzing data generally follows the below path:

• Ask the right questions to begin the discovery process
• Acquire data
• Process and clean the data
• Integrate and store data
• Initial data investigation and exploratory data analysis
• Choose one or more potential models and algorithms
• Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence
• Measure and improve results
• Present final result to stakeholders
• Make adjustments based on feedback
• Repeat the process to solve a new problem

Requirements:

• Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
• Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
• Programming: Write computer program scripts  and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Java, R, Python, and SQL. Focus will be DAX & SQL although any other mentioned language is helpful as it provides a solid base
• Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
• Machine learning (not mandatory): Implement algorithms and statistical models to enable a computer to automatically learn from data

Soft skills:

• Business intuition: Connect with stakeholders to gain a full understanding of the problems they’re looking to solve.
• Analytical thinking. Find analytical solutions to abstract business issues.
• Critical thinking: Apply objective analysis of facts before concluding.
• Inquisitiveness: Look beyond what’s on the surface to discover patterns and solutions within the data.
• Interpersonal skills: Communicate across a diverse audience across all levels of an organization.

Company offers to the employee:

• competitive compensation package
• medical insurance following successful trial period
• training and development

The short-listed candidates only will be contacted.