At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.
Overview
The Staff Data Scientist plans, schedules, and implements analytics, and data science projects of moderate scope or portions of major large-scale projects and participates in the determination of technical objectives. Responsible for the department's data science work, including developing data models and machine learning algorithms, maintaining the analytics environment, and writing scripts for data integration and analysis. This hybrid role also assumes data engineering responsibilities, such as designing, implementing, testing, deploying, and maintaining stable, secure, and scalable data engineering solutions and pipelines. This role will work together with the rest of the Data & Analytics and other development teams to define requirements, mine and analyze data, integrate data from a variety of sources, and deploy high-quality data models in support of the analytics needs of A-dec.
JOB DUTIES AND RESPONSIBILITIES:
- Provide strategic insights and recommendations based on predictive data analytics.
- Influence the direction of data science projects and programs.
- Proposes solutions and strategies to business challenges; Independently works on a wide range of complex problems that require new approaches through adaptation and modification of standard data, analytics, and data science principles, theories, techniques, and procedures, providing solutions that are imaginative, thorough, and practical.
- Undertakes preprocessing of structured, semi-structured, and unstructured data.
- Analyzes large amounts of information to discover trends and patterns.
- Builds predictive models and machine learning algorithms.
- Selects features, builds, and optimizes classifiers using machine learning techniques.
- Performs data mining using state-of-the-art methods.
- Analyzes data, analytics, and BI problems to determine suitable solutions. Establishes and coordinates design reviews with peers and project leads. Responsible for organizing data and preparing documentation for assigned projects.
- Responsible for thoroughly testing data, analytics, and machine learning solutions.
- Most work is examined at a higher level. Actual supervision received may be minimal or moderate, depending upon project complexity. Closer supervision is given on new aspects of assignments.
QUALIFICATIONS:
Knowledge, Skills, and Abilities
- Proven track record of applying data science techniques to solve complex problems.
- Thorough knowledge of statistical methods and their applications.
- In-depth knowledge and expertise in machine learning algorithms and frameworks (e.g. TensorFlow, PyTorch, Scikit-learn).
- Strong command of relational databases, SQL and ETL best practices.
- In-depth understanding of data lakes, data pipelines, and data science applications.
- Comprehensive knowledge of working with structured, semi-structured and unstructured data to develop and deploy predictive models and machine learning solutions.
- Ability to interpret moderately complex data, analytics, and data science requirements and apply data, analytics, and machine learning methodologies.
- Proficient in general data manipulation tasks, including reading, processing, and cleaning data; transforming and recoding variables; merging multiple datasets; and reformatting data between wide and long formats.
- Demonstrated ability to learn new techniques and troubleshoot code without support; in other words, be able to learn on the job.
- Use APIs to push and pull data from various data systems and platforms.
- Demonstrated ability to write clear code that is well-documented and stored in a version control system.
- Proven ability to work both independently and collaboratively within a team environment while following established procedure.
- Excellent listening, interpersonal, communication, and problem-solving skills.
Education and Experience
- BS degree in computer science, statistics, mathematics, engineering, economics, or other related discipline, or equivalent experience.
- At least ten years of experience in the field of data science.
- Five years of experience coding in Python including comprehensive knowledge of Pythian libraries, applications and use cases for data prep and analysis (e.g. Pandas, NumPy).
- Experience leading projects and mentoring junior data scientists or analysts.
Preferred Qualifications
- Relevant certifications in data science, machine learning or related areas
- Experience with Azure services and applications
- Experience working for a large manufacturing company
- General knowledge and understanding of business analysis best practices
- Azure machine learning knowledge and experience
- Familiar with best practices of data science application in manufacturing companies
- General knowledge of Snowflake Snowpark and Cortex
- Experience developing cloud data warehouses (e.g., Snowflake or Databricks)
- Experience with lambda and kappa architectures
- Experience with iPaaS platforms and other no-code/low-code platforms
Disclaimer
This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.
At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement.
A background check and screen for the illegal use of drugs is required.
A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor”
A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.