Senior Data Science Engineer at Salesforce

Short Description:

The Senior Data Science Engineer at Salesforce Hyderabad crafts and implements advanced data models and machine learning algorithms to extract insights, collaborating across teams. Candidates need 5+ years of data science experience, proficiency in Python/R, machine learning frameworks, and big data tools. The role involves mentoring, deploying scalable solutions, and staying updated on cutting-edge technologies for impactful problem-solving.

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About Salesforce:

Salesforce, the Customer Company, is dedicated to shaping the future of business through the fusion of AI, data, and CRM. We lead by embracing core values and aiding companies from various sectors in forging innovative paths to connect with customers in unprecedented ways. If you believe in the potential of business as a platform for change and aspire to be a Trailblazer, you've found the perfect place.

Role: Senior Data Science Engineer

Responsibilities:

• Develop, implement, and maintain advanced data analysis algorithms and models to solve complex problems and derive valuable insights from our data.
• Design, develop, and train machine learning models, including generative AI models, to meet business requirements.
• Collaborate with cross-functional teams to comprehensively analyze and present results, from data collection and processing to analysis and visualization.
• Harness big data technologies to create and sustain scalable data-driven features and models.
• Progress data science and engineering models and transition them from proof-of-concept to enterprise-wide deployment.
• Provide expert guidance on data science methodologies and data analytics.
• Collaborate with data engineers to structure, preprocess, and cleanse datasets for data science projects.
• Stay updated on the latest developments in data science, machine learning, and AI, exploring new technologies, techniques, and algorithms.
• Mentor and offer guidance to junior data scientists and engineers.
• Document and communicate technical processes, model architectures, development, and deployment procedures clearly and effectively to both technical and non-technical stakeholders.
• Lead and contribute to projects involving the conception and development of new data science products or features.
• Work closely with data engineers and other technical staff to ensure accurate model implementation and data preprocessing, cleansing, or transformation.
• Collaborate closely with cross-functional teams to integrate, test, and deploy machine learning solutions into the company's product offerings.
• Extract usable data from valuable data sources through data mining.
• Proficiency with big data analytics tools and distributed systems such as Apache Spark, Kafka, and Airflow.
• Implement AI/ML continuous delivery and automation pipelines.

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.
• Proficiency in Python, R, or other data science programming tools.
• Deep understanding of key data science modules like sklearn, keras, pandas, numpy, nltk, etc.
• Knowledge of machine learning frameworks like TensorFlow, PyTorch, or similar.
• Strong grasp of machine learning algorithms and principles (regression, decision tree/random forest, clustering, PCA, SVM, etc.).
• Ability to design rigorous experiments and evaluation methodologies for assessing machine learning model performance and robustness.
• Experience in designing and deploying robust, scalable pipelines for machine learning models across various platforms.
• Proficiency in 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.
• Knowledge of natural language processing.
• Demonstrated leadership ability in a team environment.
• Proficiency in data retrieval and understanding from common data sources, such as 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 need assistance applying for open positions due to a disability, please submit a request through the Accommodations Request Form.

Posting Statement:

At Salesforce, we believe that the business of business is to enhance the state of our world. We are committed to promoting Equality through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Visit www.equality.com to learn more about Equality 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 identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited resumes from headhunters and agencies without a signed agreement.

Location: Hyderabad, India

Employment Type: Full Time (Office-Based)

Job ID: JR221341

Please click here to apply.