Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce We\xe2\x80\x99re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too \xe2\x80\x94 driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good \xe2\x80\x93 you\xe2\x80\x99ve come to the right place.

Senior Data science Engineer

Responsibilities

• Develop, implement, and maintain advanced data analysis algorithms and models to solve complex problems and generate valuable insights from our data.
• Design, develop, and train machine learning models, including generative AI models, to meet business needs.
• Collaborate with cross-functional teams to understand the business needs, and formulate and complete end-to-end analysis that includes data gathering, processing, analysis, and presentation of the results.
• Leverage big data technologies to design, develop, and maintain scalable data-driven features and models.
• Maintain data science and engineering models and iteratively scale up from proof-of-concept to enterprise-wide deployment.
• Provide subject matter expertise on data science methodology and data analytics.
• Work with data engineers to construct, preprocess, and clean datasets for data science projects.
• Keep abreast of the latest developments in the field of data science, machine learning, and AI and explore and experiment with new technologies, techniques, and algorithms.
• Provide mentorship and guidance to junior data scientists and engineers on the team.
• Document and communicate technical processes, model architectures, and development and deployment procedures clearly and effectively to both technical and non-technical stakeholders.
• Lead and contribute to projects involving the conceptualization and development of new data science products or features.
• Work closely with data engineers and other technical staff to ensure the proper implementation and integration of the models and handle any preprocessing, cleaning, or transformation of data as needed.
• Collaborate closely with cross-functional teams to integrate, test, and deploy machine learning solutions into the company\'s product offerings.
• Data mining or extracting usable data from valuable data sources
• Facility with big data analytics tools and distributed systems, Apache Spark, Kakfa, Airflow etc... AI/ML continuous delivery and automation pipeline

Qualifications

• Bachelor\'s or Master\'s degree in Computer Science or equivalent
• At least 5 years of experience in a data science role focusing on data analytics and machine learning model development.
• Experience with generative AI and the development and training of machine learning models.
• Proficiency in Python, R, or other programming tools used in data science.
• Proficiency in EDA and statistical analysis of the data.
• Deep understanding of the modules like sklearn, keras, pandas, numpy, nltk, etc...
• Knowledge of machine learning frameworks like TensorFlow, PyTorch, or similar.
• Strong understanding of machine learning algorithms and principles (regression, decision tree/random forest, clustering, PCA, SVM, etc.), and their pros and cons.
• Design rigorous experiments and evaluation methodologies to assess the performance and robustness of machine learning models.
• Experience in designing and implementing robust and scalable pipelines for deploying machine learning models in production environments across various platforms ( on-premises servers, AWS, etc..)
• Experience with SQL and database structures.
• Experience with big data technologies such as Spark, Hadoop, or similar.
• Familiarity with data visualization tools like Tableau, Superset, or similar.
• Strong problem-solving skills with an emphasis on product development. Excellent written and verbal communication skills.

Preferred Skills

• Experience with deep learning and neural networks.
• Experience with natural language processing.
• Demonstrated leadership ability in a team environment.
• Retrieving and comprehending data is crucial for data science engineers. They analyze and extract insights from data, requiring a strong foundation in data retrieval and understanding. Familiarity with common data sources is valuable for efficient access and work across platforms. Examples of such sources include Splunk, Argus, Huron, AWS S3, relational databases (e.g., MySQL, PostgreSQL, Oracle, Microsoft SQL), NoSQL databases (e.g., MongoDB, Cassandra, Redis, Elasticsearch), web APIs, web scraping, sensor data, log files, textual data (e.g., chat logs), and streaming data.

Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com . Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce . \xef\xbb\xbf Salesforce welcomes all.