Senior Software Engineer - RPA

Job Title -Data Scientist

Job Duties

1. Data Scientist responsibilities includes planning projects and building analytics models.
2. You should have a strong problem-solving ability and a knack for statistical analysis.
3. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.

Responsibilities

Own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.

Create scalable solutions to business problems using statistical techniques, machine learning, and NLP.

Design, experiment and evaluate highly innovative models for predictive learning

Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations

Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.

Research and implement novel machine learning and statistical approaches.

Requirements

2-5 years of experience in data science.

In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.

Strong programming skills (Python, Java)

High proficiency in at least one of the following broad areas: machine learning, statistical modelling/inference, information retrieval, data mining, NLP

Experience with SQL and NoSQL databases

Strong organizational and leadership skills

Excellent communication skills

Experience Range: 5 to 10 Years (Associate CSP / CSP / Sr. CSP)

Roles and responsibilities:

As part of the core sales and GTM team of Quantiphi, the CSP will be responsible for execution of end-to-end sales process in a B2B environment.

Your responsibilities will include:

• Prepare and deliver technical presentations explaining products or services to customers and prospective customers.
• Managing customer communication and relationships.
• Engage and drive end-to-end pre-sales activities for business development for the company in the Data Science and Applied AI domain.
• Ability to research, identify and prospect full range - Proficient in developing business collaterals based on latest developments in AI to showcase the potential of ML & AI for the enterprise.
• Experience in handling or being hands-on for analytical/machine learning projects (Good to have).
• Work in conjunction with the Solution Architects and Data Science teams to gather, analyze and prospect business problems to be solved using large volumes of quantitative and qualitative data and develop of point of view to build a solution for the problems.
• Applying the right analysis frameworks to develop creative solutions to complex business problems.
• Planning and executing both short-term and long-range projects. Manage teamwork and client expectations.
• Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions.
• Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers.
• Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments and manage the technical relationship with Google’s customers.
• Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
• This includes understanding, analyzing and prospecting complex business problems to be solved using Data solutions & AI Applications in a variety of industries including Healthcare, Media, BFSI, CPG, Retail and many others.
• Travel to customer sites, conferences, and other related events as required.

Skills Required:

You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred.

• Good communication, abstraction, analytical and presentation skills.
• Experience of B2B sales, customer communication and relationship management.
• Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal writing and presentation.
• Data driven mindset. Your plans and actions are backed by not just gut feeling but also
• customer/industry/market research.
• Knowledge and willingness to learn and apply emerging trends in business research, data science,
• Machine learning Artificial Intelligence, Cloud.
• Excellent aptitude in business analysis and awareness of quantitative analysis techniques.
• Excellent communication (written and verbal) and excellent articulation skills.
• Strong team player and ability to collaborate with a cross functional team
• Experience with sales reporting.
• Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added AI based solutions for clients across a variety of industries.

You should have a strong grasp of current marketing tools and strategies and be able to help integrate digital marketing campaigns from concept to execution. The Digital Marketing Intern

 will work with the marketing team, coordinating with other teams (such as design, HR, etc) to launch campaigns on time.

• Coordinate with other support functions to develop marketing material
• Define schedules, handle posting on social media
• Keep an eye on the trends, suggest and execute campaigns around them
• Perform audits, plan and execute all digital marketing activities, including SEO/SEM, email, social media, and display advertising campaigns
• Design, build and maintain social media presence, increase the availability of multiple platforms
• Measure and report the performance of integrated marketing efforts, and assess against goals (ROI and KPIs)
• Brainstorm new and creative growth strategies
• Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate

• BS/MS, BMM degree in marketing or a related field
• Proven working experience of 0-1 year in digital marketing & contribution to B2B sales if any
• Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform and motivate
• Experience with A/B and multivariate experiments
• Solid knowledge of website advertising and analytics tools (e.g., Google Adwords, Google Analytics, Facebook Advertising)
• Strong analytical skills and data-driven thinking
• Up-to-date with the latest trends and best practices in online marketing and measurement
• Eager to learn and grow from marketing coordinator to digital marketing executive

• Design and develop cloud native enterprise applications 
• Define and establish conventions, standards and best practices for the SDLC process and ensure that quality control is of paramount importance at each step of the development life cycle
• Develop reusable frameworks and libraries that can drastically accelerate new application development in the future
• Participate in the requirement analysis and gathering process and also perform sit-withs with business teams to ensure there is full clarity of the problem statement
• Actively engage wih infrastructure team and take ownership of DevOps processes to ensure that build and deployment processes are efficient and optimal.
• Actively engage with project stakeholders to ensure all are in sync with the progress, risks and issues
• Quickly learn and adopt cutting edge technologies to help keep the org ahead of the curve