Senior Data Scientist at ApTask in NEW YORK, NY

Job description

• Job Description
• We are seeking a highly skilled and motivated AI/ML Engineer with a strong foundation in Data Science to join our dynamic team.
• The ideal candidate will leverage their expertise in machine learning algorithms, data analysis, and statistical modeling to develop innovative AI solutions that drive business value.
• This role requires a deep understanding of data-driven decision-making processes and the ability to translate complex data into actionable insights.

Responsibilities

• Design, develop, and implement machine learning models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and understand business objectives.
• Analyze large datasets to extract meaningful insights and identify trends that inform strategic decisions.
• Utilize statistical methods to validate models and ensure their robustness and reliability.
• Continuously monitor and optimize model performance, making adjustments as necessary to improve accuracy.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
• Stay current with the latest advancements in AI/ML technologies and methodologies, applying them to enhance existing processes.
• Mentor junior team members and contribute to a culture of knowledge sharing and continuous learning.

Requirements

• Strong proficiency in data science concepts, including statistical analysis, data mining, and predictive modeling.
• Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Proficient in programming languages such as Python or R, with a solid understanding of data manipulation and analysis.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, or Seaborn) to present findings effectively.
• Strong problem-solving skills and the ability to work with complex datasets.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Strong analytical and quantitative skills, with a passion for data-driven decision-making.
• Demonstrated ability to work independently and as part of a team in a fast-paced environment.
• Commitment to continuous learning and professional development in the field of AI/ML.
• Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks.
• Experience in deploying machine learning models in production environments.
• Knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud) for scalable data processing and model deployment.
• Understanding of natural language processing (NLP) and computer vision techniques.
• Experience with version control systems, particularly Git.

Skills

Required

• Strong problem-solving skills
• Excellent communication skills
• Passion for data-driven decision-making
• TensorFlow
• PyTorch
• Scikit-learn
• Python
• R
• Tableau
• Matplotlib
• Seaborn
• Hadoop

Benefits

• Salary Range: $140K-$150K/Annum