What are the responsibilities and job description for the Data Scientist Level 2 position at Omm IT Solutions?
About the Role :
A data scientist will develop machine learning data mining statistical and graphbased algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide datadriven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.
Responsibilities :
Produce data visualizations that provide insight into dataset structure and meaning.
Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g. SQL tables structured metadata network logs).
Incorporate SME input into feature vectors suitable for analytic development and testing.
Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
Develop and implement statistical machine learning and heuristic techniques to create descriptive predictive and prescriptive analytics.
Develop statistical tests to make datadriven recommendations and decisions.
Develop experiments to collect data or models to simulate data when required data are unavailable.
Develop feature vectors for input into machine learning algorithms.
Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation ROC curves confusion matrices).
Evaluate individual analytic efforts and make recommendations in the analytic development
process.
Recommend solutions that can scale to large datasets.
Collaborate with software engineers cloud developers and appropriate stakeholders to develop production analytics.
Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.
Requirements
Required Education & Years of Experience :
- Requires a Bachelors degree in a relevant discipline (e.g. statistics mathematics operations research engineering or computer science) from an accredited college or university eight 8 years of relevant experience analyzing datasets and developing analytics and five 5 years of relevant experience programming with data analysis software such as R Python SAS or MATLAB.
- A Masters degree in relevant discipline may be substituted for two 2 years of relevant experience reducing the requirement to six 6 years of relevant experience analyzing datasets and developing analytics and three 3 years of relevant experience programming with data analysis software such as R Python SAS or MATLAB.
- A PhD in relevant discipline may be substituted for four 4 years relevant experience reducing the requirement to four 4 years of relevant experience analyzing datasets and developing analytics and one 1 year of experience programming with data analysis software such as R Python SAS or MATLAB.
- In lieu of a Bachelor s Degree an additional four 4 years of relevant experience may be substituted for a total of twelve 12 years of relevant experience analyzing datasets and developing analytics and nine 9 years of experience programming with data analysis software such as R Python SAS or MATLAB.
Required Education & Years of Experience : Requires a Bachelor\'s degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, eight 8 years of relevant experience analyzing datasets and developing analytics, and five 5 years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. A Master\'s degree in relevant discipline may be substituted for two 2 years of relevant experience reducing the requirement to six 6 years of relevant experience analyzing datasets and developing analytics, and three 3 years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. A PhD in relevant discipline may be substituted for four 4 years relevant experience reducing the requirement to four 4 years of relevant experience analyzing datasets and developing analytics, and one 1 year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. In lieu of a Bachelor s Degree, an additional four 4 years of relevant experience may be substituted for a total of twelve 12 years of relevant experience analyzing datasets and developing analytics, and nine 9 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
Education
Salary Range= $187,000 to $192,000 with Benefits : 1. Holiday Benefit 10 holidays per year 2. Vacation Benefit 10 vacation days per year, Accrued on a weekly basis. 3. Sick Leave Benefit 5 Personal / Sick Leaves per year. Accrued on a weekly basis. 4. Medical Insurance Reimbursement Benefit Medical Insurance Allowance (QSEHRA).Reimbursement (Eligibility date dependent on enrollment. Employee purchase own plan) 5. AFLAC Supplemental Insurance Plan AFLAC Supplemental Insurance Plan.
Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type : Full Time
Experience : years
Vacancy : 1
Monthly Salary Salary : $ 187000 - 192000
Salary : $187,000 - $192,000
