Data Scientist
Data Scientist
Posted on :
25-02-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
25-02-2025
Job Description
Role: Data Scientist
Location: Philadelphia PA 3 days a week ONSITE
Duration: 3month contract to hire
Job Description
- Apply the scientific method to extract knowledge and insights from data which may take the form of timeseries (smartmeters smartgrid and other IoT) structured (relational data stores) and unstructured (text and multimedia) data sets.
- Leverage these insights to deploy datadriven applications in support of strategic business priorities. Possess an advanced knowledge of predictive modeling techniques and prior exposure with highperformance computing technologies. Use your skills to manage several projects running in parallel.
- Closely collaborate with various internal stakeholder and external partners to understand business needs by providing and receiving regular feedback. Use these collaborations to plan execute and deploy analyticsbased solutions.
Mentor to more junior peers and oversee their activities where needed. Provide subject matter expertise in the areas of artificial intelligence machine learning feature engineering data mining data manipulation/storage and highperformance computing
Primary Duties
- Develop key predictive models that lead to delivering a premier customer experience operating performance improvement and increased safety best practices. (25%)
- Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks including but limited to: Python R Scala or equivalent; Spark/PySpark; Hadoop file system; GPUbased computing systems (20%)
- Access and analyze data sourced from various Company systems of record. Lead the development of strategic business marketing and program implementation plans. (20%)
- Access and enrich data warehouses across multiple Company departments. Build modify monitor and maintain highperformance computing systems. (10%)
- Provide expert data and analytics support to multiple business units. Provide guidance and be a mentor to junior peers. (20%)
- Represent the Company at analytics focused industry forums and peer group events bringing back leading practices to evolve the Companys analytics maturity. (5%)
Job Scope
- Research and experiment on data science technologies discover opportunities for new data analytics features and influence product and technology strategies of the company.
- Develop algorithms (machine learning statistical modeling optimization) that power data analytics solutions.
- Drive the productization of the algorithms either by writing highquality reusable code modules or advising the engineering teams on implementing the algorithms.
- Communicate research results effectively in written and spoken forms to various audiences including product managers system engineers business executives and customers.
- Become a trusted mentor to peers and collaborators.
- Educate the organization on data science technologies and data analytics through internal presentations training workshops and publications.
- Represent the organization and advocate its data analytics efforts and capabilities through external conferences and publication opportunities.
Minimum Qualifications
- Education: Bachelors degree in a Quantitative discipline. Ex: Applied Mathematics Computer Science Finance Operations Research Physics Statistics or related field
- 710 years of experience analyzing multiterabyte datasets. Minimum of 3 years of experience applying advanced analytics techniques to diverse data sets data. Minimum of 3 years of experience in data mining in a business environment with large complex datasets. Minimum of 2 years of experience in a supervisory role including mentoring and guiding junior peers responsible to successfully delivering projects on time.
- Analytical Abilities: Demonstratable strong knowledge in the following areas: machine learning artificial intelligence statistical modeling data mining information retrieval or data visualization.
- Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python R Scala etc.). Experience working within an opensource environment and Unixbased OS.
- Communication Skills: Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners practice leaders and executives. Strong oral and written communication skills. Experience presenting to diverse audiences including presenting to conferences and business symposia.
Preferred Qualifications
- Experience Prior exposure to data structures pertaining to smartmeters billing or outage management systems.
- Prior exposure to the utilities or broader energy sector.
- Prior exposure to the full spectrum of data science lifecycle including data acquisition maintenance processing analysis and communication.
- Analytic Abilities Solid understanding of relevant theories in machine learning statistics probability theory data structures and algorithms optimization etc.
- Technical Knowledge Expert level coding skills (Python R Scala SQL etc) and experience developing in a Unix environment. Proficiency in database management and large datasets create edit update join append and query data from columnar and big data platforms.
- Communication Skills Ability to translate executive and analytics leaders vision and guidance into methods and analytics. Strong time management and presentation skills.
Employment Type
Full Time
Key Skills
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