About SampraSoft
Sourced by ZipRecruiter
Industry
It services
Company size
1 - 10 Employees
Headquarters location
Alpharetta, GA, US
Year founded
2005
Other
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Job description
Data Scientist
Data Scientist role to develop and deliver analytics models for Client's equipment condition monitoring for the enterprise, and for aftermarket solutions for customers and dealers.
Condition monitoring models include failure prediction, remaining life estimation, service interval extension, and component risk models.
Methods include machine learning, deep learning, statistical and rule-based models, and other data analytics techniques to generate actionable insights from time-series machine sensor data, other telematics data, fluids analysis, and machine inspection and service records.
Responsibilities:
- Collect and negotiate requirements for condition monitoring models.
- Access, analyze, cleanse, preprocess data; cultivate ground truth data sets as needed.
- Explore and downselect modeling approaches.
- Develop, backtest and validate models in python, in both on-prem and AWS environments.
- Compute model performance metrics.
- Participate in daily standups and sprint reveals in Scrum/Agile environment.
- Explain and defend modeling decisions and performance results.
- Support model in production, resolve incident tickets.
Technical Skills Required:
- Excellent python skills (numpy/pandas/matplotlib/sklearn), version control (git), SQL and database APIs (cx_oracle, pymysql, sqlalchemy), cloud deployment experience (AWS, containerization) and familiarity with AWS services (S3/EC2/SageMaker).
- Comfortable and effective working in an Agile/Scrum environment.
- Desired qualifications: Machine Learning model development experience, familiarity with engineering/IOT systems, telematics/timeseries data analysis, and multiprocessing frameworks (dask, pyspark).
Desired Skills:
- AWS Certified Cloud Practitioner (or higher) - desired
Soft Skills Required:
- Excellent communication skills.
- Critical thinking and independent problem resolution.
- Ability to work both independently and on a team: collaborates and compromises effectively.
samprasoft.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.