
Role Overview
We are looking for an experienced Data Scientist with strong expertise in Data Science, Machine Learning, statistical modeling, and data analytics. The ideal candidate will be responsible for developing predictive models, identifying meaningful patterns and correlations in data, and translating complex datasets into actionable business insights.
This role requires strong hands-on experience across the data science lifecycle, including data exploration, feature engineering, statistical analysis, model development, validation, and deployment. Experience with data modeling and Azure-based data/ML engineering will be an added advantage.
Key Responsibilities
- Develop and implement machine learning and statistical models for predictive and analytical use cases.
- Perform exploratory data analysis to identify trends, patterns, correlations, and business opportunities.
- Apply statistical and algorithmic techniques to solve complex business problems.
- Build, evaluate, optimize, and validate predictive models.
- Work with large and complex datasets, including data preparation, feature engineering, and transformation.
- Develop robust data models to support analytics and machine learning use cases.
- Translate business requirements into data science solutions and communicate insights effectively to stakeholders.
- Collaborate with data engineers, analysts, and business teams to productionize data science solutions.
- Ensure models and analytical solutions are scalable, reliable, and aligned with business objectives.
- Contribute to the evaluation and adoption of appropriate ML, analytics, and cloud technologies.
Required Skills & Experience
- 7–11 years of hands-on experience in Data Science / Machine Learning.
- Strong expertise in statistical analysis, predictive modeling, and algorithm development.
- Strong understanding of machine learning concepts and techniques.
- Hands-on experience with data modeling and advanced analytics.
- Strong programming skills in Python and experience with relevant data science/ML libraries.
- Experience working with large datasets using SQL.
- Strong understanding of data preparation, feature engineering, model evaluation, and validation.
- Ability to independently translate business problems into data-driven solutions.
- Strong analytical and problem-solving skills.
Good to Have
- Experience with Microsoft Azure and Azure-based data/ML services.
- Experience designing or implementing data science solutions in cloud environments.
- Exposure to ML model deployment and MLOps practices.
- Experience working with modern data platforms and data engineering pipelines.
- Experience in a client-facing or consulting environment.
What We’re Looking For
A hands-on Data Scientist who can go beyond building models and contribute across data, statistics, algorithms, modeling, analytics, and predictive problem-solving. The candidate should be comfortable working with cross-functional teams and translating complex analytical findings into practical business outcomes.
Specialist capability: We currently need stronger coverage across Data Science/ML, Data Modeling, statistical/algorithm expertise, analytics and potentially Azure engineering to credibly deliver the predictive/correlation aspects discussed.

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About us
We are building new-age billing and pricing infrastructure for SaaS companies. As SaaS pricing evolves from vanilla subscription-based models to more granular usage-based models, billing and pricing infrastructure needs to be completely reimagined.
Founders who sold their previous startups to Snapdeal and Gaana respectively. They have experience at organizations such as Google, Basepair, Elevation Capital, IIT Bombay, IIT Delhi and Harvard Business School. We are funded by marquee global investors, including Bessemer Venture Partners.
We are building our founding team, and are looking for:
- engineers who can optimize for quick iteration, fast deployment and having a great developer experience.
- sales, marketing and growth folks who are excited to push the envelope on GTM (go-to-market) innovation
You should be excited about learning and meaningfully shaping the trajectory of an early-stage startup from Day 0 in its journey.
What you can expect
- Ownership and autonomy: As a founding team member, you have immense responsibility. You own and drive the execution.
- Learning: You will work on challenging problems and engage in some of the most meaningful work of your life.
- You will have to figure out our Go-To-Market playbook from scratch - channels, messaging, discovery, demos, sales cycle, personas, nurturing, partnerships etc. Expect a whole lot of iteration and first principles thinking.
- Culture:
- We don’t take ourselves too seriously, and know how to have fun
- The health of our team is most important to us. Balance work with life - be productive, not busy.
- Being remote first, we thrive via async communication.
- Flexibility: Remote - work from wherever you are in the world; If you prefer coming to the office in person, we have a physical space in Indiranagar, Bangalore
- Compensation: We offer competitive salaries with generous ESOPs
- Benefits (for full-time roles):
- Health insurance
- Generous vacation policy
- Learning and development budget
- Team events and company offsites
- Maternity and Paternity benefits
- Company laptop
About this role
We are building our founding team and are looking for folks who are excited to get their hands dirty in a 0 to 1 journey. If you are expecting a working playbook that you can execute, we are probably not the right fit for you at this point. However, if you are excited about creating the playbook from scratch, we would love to hear from you
You will directly work with the founders.
Outbound sales are critical to generating meetings with qualified prospects. You will lay the foundation for and execute our outbound sales strategy.
The primary objective is to generate meetings with qualified prospects by optimizing our outbound sales machinery - iterating on channels, messaging, ICP (ideal customer profile), tooling etc.
- Outbound prospecting
- Find leads from databases (Apollo, ZoomInfo, etc.)
- Reach out to them (manual + automated) via different channels (email, LinkedIn, cold calling, etc.) to generate new sales opportunities
- Identify the needs of prospects, and build long-term, trusting relationships with to qualify leads as sales opportunities
- Iterate to maximize qualified meetings set up
- Experiment with different databases
- Experiment with messaging, level of personalization, length of sequences etc.
- Experiment with channels (email, LinkedIn, cold calls etc.)
- Experiment with different types of collateral
- Experiment with the recipient being targeted - industry, persona, intent signals etc.
- Loop in feedback from prospect responses to emails and cold calls to refine messaging further
- Inbound follow-ups - Respond to inbound leads and automate follow-up communication; iterate on messaging/channels to maximize conversion rate
- Run custom campaigns e.g., writing to VCs for intros to their portfolio companies, writing to conference attendees, scraping forums and job descriptions for relevant leads etc.
- Set up in-house tooling to ensure email deliverability, monitor open rate/reply rate, track domain reputation etc.
- Owning the CRM: Create and update leads, set up pipelines, email templates, and automation. Fully utilize CRM capabilities to nurture leads and deliver timely and relevant content
Key Qualifications
- 1-2 years of experience working as a sales development representative at a B2B SaaS company
- The solid hustle and entrepreneurial mindset; Thrive under the uncertainty that comes with an early-stage setup
- Excellent written and oral communication skills
- Experience working with lead databases, sales engagement tools etc
- Familiarity with CRM systems and proficiency in managing leads, pipelines, and automation
- Willingness to get your hands dirty and do the grunt work in the early days
- Strong first principles understanding of business fundamentals; Ability to empathize with the end user, and understand their pain points; Ability to understand the product at a granular level
- Adaptable to work across time zones to cater to a global customer base
- Self-driven individual with high ownership and a strong work ethic
- Ability to build, manage and motivate a team
- Previous entrepreneurial experience is a huge plus
- Experience catering to the CFO persona is a plus
- Familiarity with billing systems, CPQ and accounting systems is a plus
- Not taking yourself too seriously :)
In this role, you will:
As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for:
- Understand business objectives and provide credible challenge to analysis requirements.
- Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases.
- Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy.
- Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results.
- Ensure adherence to data management/ data governance regulations and policies.
- Performing and testing highly complex data analytics for customer remediation.
- Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed.
- Investigate and ensure data integrity from multiple sources.
- Ensure data recommended and used is the best “source of truth”.
- Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources.
- Must have a strong attention to detail and be able to meet high quality standards consistently.
- Other duties as assigned by manager.
- Willing to assist on high priority work outside of regular business hours or weekend as needed.
Essential Qualifications:
- Around 5+ years in similar analytics roles
- Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
- Preferred programming knowledge SQL/SAS
- Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus.
- Strong experience with data integration, database structures and data warehouses.
- Persuasive written and verbal communication skills.
Desired Qualifications:
- Certifications in Data Science, or BI Reporting tools.
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills.
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities.
- Ability to research and report on a variety of issues using problem solving skills.
- Ability to act with integrity and a high level of professionalism with all levels of team members and management.
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Exhibits appropriate sense of urgency in managing responsibilities.
- Ability to accurately process high volumes of work within established deadlines.
- Available to flex schedule periodically based on business need.
- Demonstrate strong negotiation, communication & presentation skills.
- Demonstrates a high degree of reliability, integrity and trustworthiness.
- Takes ownership of assignments and helps drive assignments of the team.
- Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player.
- Be proactive and get engaged in organizational initiatives.
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What you will do:
- Partnering with leaders in resource planning, allocation and drafting the manpower plans for the company
- Collaborating with Hiring Managers to design and implement optimal sourcing strategies against the manpower plan requirements
- Direct sourcing covering all sourcing channels - internal mobility, referrals, advertised search, on-line job boards, networking, research, company website and search engines
- Identifying the sources for hiring that are cost efficient, highly effective with fast turnaround time
- Partnering with the business leaders on creating strong assessment mechanisms for recruitment
- Deploying assessment tools in the interviews to ensure that talent that is taken forward is as per org/ business requirements
- Handling all Recruitment operations (Sourcing, interview scheduling, coordination etc)
- Creating regular recruitment reports / trackers to gauge the health of manpower planning and recruitment related processes
- Creating Job Descriptions & specifications with respect to hiring
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- Compensation benchmarking - internal and external
- Handling salary negotiations and ensuring the compensation offered takes into account the market trends and internal parity
Desired Candidate Profile
What you need to have:- Masters with specialization in HR
- Certification as Assessor
- Awareness of the placement process across Tech and Non-Tech Institutions
- Knowledge of recruitment and assessment tools
- Understanding of competency based assessments
- Exceptional excel skills
- Financial literacy of P&L and balance sheets
- Planning and organizing skills
- Strong process orientation
- An inclination for documentation & frameworks
- Strong communication Skills
- Strong Interpersonal Skills
- Ability to multitask
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