Work Experience Required: 8 - 12 Years
- Experience in programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP)
- Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
- Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
- Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
- Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
- Contribute to internal product development initiatives related to data science.
- Develop data science roadmap, and guide data scientist to meet their deliverables.
- Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
- Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
- Drive excellent project management required to deliver complex projects, including effort/time estimation.
- Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy
- Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
- Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
- Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
- Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
- Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
- Build business case for technological investments to be made for future needs and to remain competitive
- Ensure that billing and utilization of team members is maximized throughout the year
Desired Skills:
- Good level of proficiency in a structured programming language, e.g. Python, R.
- Experience designing data science solutions to business problems
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
- Comfortable with large scale data processing and distributed computing
- Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.
- Providing required inputs to sales, and pre-sales activities
- Excellent written and verbal communication skills
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.Skills Required
- 8–12 years of professional experience
- Programming experience with Python, R, SQL, NoSQL, and Spark
- Experience with machine learning tools and cloud technologies including AWS, Azure, or GCP
- Experience with Python libraries and tools including NumPy, pandas, scikit-learn, TensorFlow, Scapy, Scrapy, and BERT
- Strong understanding of statistics and statistical hypothesis testing
- Experience developing predictive models using machine learning algorithms
- Experience designing data science solutions for business problems
- Deep understanding of machine learning algorithms for structured and unstructured data
- Experience with large-scale data processing and distributed computing
- Experience managing data science teams and allocating workloads
- Excellent written and verbal communication skills
What We Do
Sigmoid is a leading data engineering and AI solutions company that helps enterprises gain a competitive advantage with effective data-driven decision-making. Our team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies. We leverage our expertise in open-source and cloud technologies to develop innovative frameworks catering to specific customer needs. Our unique approach has positively influenced the business performance of our Fortune 500 clients across CPG, retail, banking, financial services, manufacturing, and other verticals. Backed by Sequoia Capital, Sigmoid has offices in New York, San Francisco, Dallas, Lima, Amsterdam, and Bengaluru. We are recognized among the world's fastest growing and innovative tech companies, winning several awards and recognition like the Deloitte Technology Fast 500, Financial Times- The Americas’ Fastest Growing Companies, Inc. 5000, Great Place To Work- India’s Best Leaders in Times of Crisis, Data Breakthrough, Aegis Graham Bell, TiE50, NASSCOM Emerge 50, and others. Learn more: https://www.sigmoid.com/ or https://sigmoid.com/careers/ for careers.
