Data Scientist

Come for the Challenge. Stay for the Experience. At HCVT, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at HCVT. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience. What We Do and Who We ServeWe offer Tax, Audit, Advisory, and Business Management services to our clients, which include private and public companies, high-net-worth individuals, and family offices. We also specialize in serving clients across the following industries: Private Equity, Real Estate & Hospitality, Media & Entertainment, High-Net-Worth Individuals, Manufacturing & Distribution, Professional Services Firms, Technology, Healthcare, Nonprofit Organizations, and Affordable Housing.    We Live Our Core Values Our values guide us in our day-to-day interactions with our clients and each other—Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team.  Discover How Far You Can Go. Opportunities abound at HCVT. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating client engagements for our teams to work on—the kind of work that helps you develop and refine your skills to advance in the profession.  Hybrid WorkAt HCVT, we embrace a hybrid work model that offers a balance between in-office collaboration and remote convenience.  Our teams work a minimum two days a week in the office, unless noted otherwise in the job description, complemented by in-person trainings, meetings, and team-building activities to foster your growth and deepen team connections. These trainings and events may take place outside of your home office location.
Apply today and find out why so many come for the challenge—and stay for the experience. We look forward to meeting you! 
Our advisory team is dedicated to providing data-driven insights and strategic direction to our clients. We are a dynamic and innovative group that values expertise, collaboration, and a commitment to excellence.
We are seeking an experienced Data Scientist to join our advisory team. The ideal candidate will have 4+ years of experience in data science/engineering and will be responsible for designing, building, and maintaining our data infrastructure. This role requires a proactive and detail-oriented individual who can work effectively in a fast-paced environment to deliver high-quality data solutions.
Work hours are generally 8:00 – 17:00 with a lunch break. The working hours may be flexible during the day, and you will work with your US team to ensure some of your work hours overlaps with your US team’s schedule.

As a Data Scientist in our Armenia office, you will be responsible for the following:

• Design and implement statistical and machine learning models to generate actionable insights and support strategic decision-making.
• Collaborate with management, analysts, and other stakeholders to understand client data requirements, and deliver data solutions that drive measurable impact.
• Design, develop, and optimize data pipelines and ETL processes from various APIs using tools like Airflow and dbt to orchestrate and manage data workflows.
• Ensure data quality, integrity, and security across all data sources and systems.
• Perform data modeling, schema design, and database management.
• Monitor and troubleshoot data pipeline performance and reliability issues.
• Stay current with emerging trends and technologies in data science and data engineering to recommend improvements to existing systems.

To be successful, these are the skills, qualities and experience you will need:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
• Minimum of 4 years of experience in data science, data engineering or a similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong proficiency in Python and core data science libraries (e.g., pandas, scikit-learn, NumPy, matplotlib/seaborn).
• Proficiency in SQL.
• Experience with data orchestration and transformation tools (e.g., Apache Airflow, dbt).
• Significant experience building ETL/ELT pipelines from various data sources into a centralized database or data warehouse.
• Experience working with APIs to access and extract structured data.
• Understanding of data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, BigQuery).
• Understanding of machine learning algorithms, and their appropriate use cases.
• Experience designing, training, and evaluating supervised and unsupervised ML models.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with big data processing and streaming technologies (e.g. Kafka, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
• Master’s degree in Computer Science, Engineering, or a related field.

The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.
The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.