Analyst, Data Science

OP; Plano (TX); On-site; USD 115,000 - 198,000; Full time

Job summary

Join a leading technology consulting firm as an Analyst in Data Science, where you'll leverage your analytical skills to drive impactful business decisions. This role involves data manipulation, model development, and collaboration with business partners to deliver actionable insights. Ideal candidates will have a strong background in Python, SQL, and machine learning techniques, along with a Master's degree in a relevant field. Enjoy a dynamic work environment with opportunities for professional growth and a focus on innovative solutions.

Benefits

401(k)

Dental Insurance

Health insurance

Vision insurance

Qualifications

• Experience solving problems using statistical and machine learning techniques.
• Hands-on experience with statistical or machine learning frameworks.
• Proactive approach to identifying problems and developing innovative solutions.

Responsibilities

• Extract, manipulate, and clean data from diverse sources using SQL and Python.
• Develop and implement predictive and prescriptive models.
• Create clear data visualizations to communicate findings.

Skills

SQL

Python

Data Analysis

Machine Learning

Education

Master's degree or higher in a relevant analytical field

Tools

Pandas

Numpy

GitHub

AWS SageMaker

Azure ML

Job description

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OP is looking for an Analyst, Data Science. This role is ideal for someone who thrives at the intersection of computational science, data analysis, and business consulting. The ideal candidate will excel in manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights that inform business decisions. They should also be proficient in programming with Python, leveraging it to build robust models and ensure seamless deployment from development to production. The ability to present results and recommendations effectively to business partners and leaders is essential. If you have a passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team

Responsibilities

• Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
• Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
• Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.
• Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
• Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.
• Software development with a Python environment.
• Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
• Stay updated with the latest industry trends and tools, and integrate this knowledge to improve methodologies and solutions.
  
  

Required Qualifications:

• Qualifications/ What you bring (Must Haves) Highlight Top 3-5 skills.
• Master's degree or higher in a relevant analytical field.
• Highly proficient with SQL.
• Hands-on experience with software development using Python, Pandas, and Numpy.
• Experience solving problems using a variety of statistical and machine learning techniques.
• Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., statsmodels, scikit-learn, PyTorch, TensorFlow, etc).
• Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
• Proactive approach to identifying problems and developing innovative solutions.
• Experience with version control in GitHub.
  

Preferred Qualifications

• Familiarity with CI/CD practices to streamline model deployment and code management.
• Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources and tools.
• Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change.
• Capability to replace and bridge existing legacy infrastructure and processes.
• Experience with the Snowflake, Netezza, or Microsoft SQL environment.
• Experience with the SAS programming language.
• Understanding of cash flow financial analysis and its implications for business strategy is highly desirable.
  
  

Benefits:

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
  
  

Additional Responsibilities:

• Participate in OP monthly team meetings, and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
  
  

About us: OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields - including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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