Company:
Society of Exploration Geophysicists
Location: Irving
Closing Date: 28/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Senior Data Scientist
This is an excellent opportunity to join a new team developing innovative AI solutions for a global technology and services company that is a leader in their industry.
RESPONSIBILITIES:
- Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
- Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
- Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
- Design and execute experiments to test hypotheses and validate models.
- Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
- Build and maintain scalable data pipelines and data processing systems.
- Communicate findings and recommendations to stakeholders, including non-technical audiences, through visualizations, reports, and presentations.
- Stay updated on advancements in data science, machine learning, and analytics.
- Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
- Collaborate with the Enterprise Analytics team to integrate new practices and technologies.
This opportunity is a direct-hire position, and you can be based in Richmond, Virginia (highly preferred) or Irving, Texas. You can telecommute two days a week. Our fantastic benefits package includes a stock purchase program, bonus plan, 401k match, paid parental leave, wellness programs, volunteer days, training and education assistance programs, and comprehensive healthcare insurance.
REQUIRED SKILLS:
- 7+ years as a Data Scientist developing and applying advanced analytics solutions
- Hands-on experience building and delivering LLM and ML models and workflows
- Extensive professional experience with Big Data systems, data pipelines, and data processing
- Familiarity with data privacy standards, methodologies, and best practices
- Practical hands-on experience with data technologies and Cloud Platforms like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP, and Azure
- Hands-on experience working on analytical platforms like SAS, R, Python, Azure ML
- Expertise in Unix Shell scripting and Dependency-driven job schedulers
- Ability to understand API Specs, identify relevant API calls, extract data, and implement data pipelines & SQL-friendly data structures
- Excellent communication and interpersonal skills, with the ability to engage and influence technical teams, business leaders, and external partners
- Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale
- Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn)
- Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques
- Proficient in applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression, or similar
- Bachelor’s or Master's Degree
PREFERRED SKILLS:
- Healthcare
- Azure
- Databricks
- AI
- Expertise in Data visualization tools such as Power BI, Tableau, and Looker
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Society of Exploration Geophysicists