Data Scientist
Yerevan
HCVT
We are a leading CPA firm offering tax planning, audit, accounting service, and business management services to companies and individuals in the Los Angeles area.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS Azure Big Data BigQuery Computer Science Data pipelines Data quality Data warehouse Data Warehousing dbt ELT Engineering ETL GCP Java Kafka Machine Learning Mathematics Matplotlib ML models Nonprofit NumPy Pandas Pipelines Python Scala Scikit-learn Seaborn Security Snowflake Spark SQL Statistics Streaming
Perks/benefits: Career development Flex hours Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.