Data Scientist 3

Talentify; Forest Park (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

Mindlance in Georgia seeks a seasoned Data Scientist with 10 to 15 years of experience. You will lead advanced analytics, ML model development, and data-driven decision support. The role emphasizes leadership, collaboration with cross-functional teams, and ethical data practices to guide business strategy.

You will mentor junior data scientists, drive the data science roadmap, and stay at the forefront of innovations in AI, big data, and analytics.

Qualifications

• Master's or PhD in a quantitative field and 10–15 years of data science experience.
• Proficiency in Python, R, or Julia for analytics and modeling.
• Expert knowledge of ML algorithms and their applications.
• Strong skills in data visualization with Tableau/Power BI and SQL expertise.
• Experience with big data technologies (Hadoop, Spark) and distributed computing.
• Leadership, communication, and ability to influence stakeholders.

Responsibilities

• Data Analysis: handle complex datasets and derive actionable insights.
• Predictive Modeling: develop and deploy ML models for business outcomes.
• Data Visualization: create compelling visuals with Tableau/Power BI or Python.
• Feature Engineering: identify features to boost model performance.
• Statistical Validation: test hypotheses with robust validation.
• Algorithm Development: build and optimize ML algorithms.
• Data Integration: collaborate to access data from multiple sources.
• Model Deployment: oversee production deployment of models.
• Experimentation & A/B Testing: design tests to measure impact.
• Data Ethics: ensure privacy and compliance in data science work.
• Cross-functional Collaboration: work with engineers, analysts, and executives.
• Mentorship: guide junior data scientists.
• Strategic Leadership: shape data strategy and roadmap.
• Innovation: stay updated on latest tools and techniques.

Skills

Data analysis

Leadership

Communication

Critical thinking

Problem solving

Education

Master's or PhD in a quantitative field

Tools

Python

R

Julia

Tableau

Power BI

SQL

Hadoop

Spark

Job description

A Data Scientist with 10 to 15 years of experience plays a pivotal role in an organization, harnessing advanced analytics, machine learning, and data-driven insights to guide critical business decisions. This role requires deep expertise in data science, a proven track record of successfully implementing data solutions, and strong leadership capabilities. Key Responsibilities: Data Analysis: Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques. Predictive Modeling: Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes. Data Visualization: Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations. Feature Engineering: Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models. Statistical Validation: Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions. Algorithm Development: Lead the development of machine learning algorithms and their optimization to solve complex business problems. Data Integration: Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses. Model Deployment: Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications. Experimentation & A/B Testing: Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements. Data Ethics: Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives. Cross-functional Collaboration: Collaborate closely with cross-functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals. Mentorship: Provide mentorship and guidance to junior data scientists, fostering their growth and development. Strategic Leadership: Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long-term data strategy. Innovation: Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating new technologies to improve data science practices. Qualifications: Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). 10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data-driven decision-making. Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Expert knowledge of machine learning algorithms and their applications. Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Profound understanding of databases and data manipulation using SQL. Outstanding problem-solving and critical thinking abilities. Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders. Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark). Expertise in data ethics, privacy, and compliance considerations.

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.