Data Scientist

3 weeks ago

Noida, India SigFig Full time

**Data Scientist**
- Location: Noida, Uttar Pradesh, India_

**Come thrive at SigFig **We empower everyone to achieve their life goals and ambitions with intuitive and customer centric financial solutions. Whether it’s through our direct -to -consumer or business -to-consumer products, or through partnerships with some of the world’s largest and most innovative financial institutions like Wells Fargo, UBS, and Citizens Bank, SigFig seeks to help consumers and institutions make better financial decisions.

**About the Team and Opportunity**

The Data Science team at SigFig handles some of the toughest and most fun data challenges at SigFig. Data Scientists work with a cross-section of the company to draw insight out of data and create tools, conversation, and culture that lead to smarter decision-making.

Data Scientists at SigFig have the opportunity to shape our data infrastructure and build smart and valuable tooling on top of it. Make our teams and products better with data.

**Why Work for Us**:

- As a reliable and trusted financial solutions provider with expanding reach to 1 in 3 households nationwide, we believe it takes extraordinary people to disrupt decades of legacy financial practices to reimagine solutions that serve customers at scale.
- We are 150+ employees strong and steadily building. Our world-class team, affectionately coined ‘SigFigians,’ is growing with an industry-savvy board and strategic executive team guiding us forward.
- We offer competitive benefits that include Flexible PTO, Wellness benefit, Mobile/Internet subsidy, Employee Recognition Programs, and more
- We are a remote-first company We have regional hubs nationwide, with presence in 4 Countries: United States, Canada, India, and Singapore.
- We believe that one size fits one and embrace a culture that honors and celebrates diversity of backgrounds, approaches and experiences.
- We are guided by our core values: Customer Delight, Make It Happen, Think Big, and We Over Me. Read more about our core values and how we live them every day on our website here.

**How You’ll Make an Impact**:

- ** Data storyteller**: Create reports and data-based recommendations by developing and running experiments, writing data automation, and conducting statistical/business analysis.
- ** Trusted partner**: Collaborate with marketing and sales teams to drive growth through funnel optimization, segmentation, user behavior models, customer profiling or LTV analysis etc.
- ** Nimble coder**:Design and prototype data products, e.g. customer propensity scoring models. Improve and build data tooling and infrastructure by automating tasks, deploying new tools etc.
- ** Clear communicator**: Synthesize and communicate insights from data through written and visual presentations, interactive dashboards, bots, and other automated reporting.
- ** Constant learner, and teacher**: Help build a data culture and skill base across the company, e.g. teaching about statistical fallacies and facts, machine learning developments, etc.
- ** Data and Science Leader**: As the first hire outside of North America and potential seed of a team, set the standard of excellence for truthful understanding and analytical impact

**Why We Value You**:

- You thrive in the intersection of computer science, data analysis, and business
- You understand uncertainty and are humble in your approach
- You get deep satisfaction from solving hard problems the right wayYou are not afraid to take an 80/20 approach to approximating solutions
- You are detail-oriented and take pride in craftsmanship
- You always show your work and understand the deep value of documentation
- You communicate directly and honestly but with tact and empathy
- You are not defensive in taking criticism but you are always learning to do even better next time
- You always find ways to make things better and do even better next time
- You listen well, take others’ perspectives, and push for the best ideas even when not yours
- You care about the truth

**Ideal SigFigian for this Role**:

- 5-10 years of related or equivalent experience, minimum Bachelor's degree in a quantitative discipline (Applied Math, Computer Science, Economics, Statistics, or other closely related fields.)
- Significant experience analyzing datasets using SQL, Python (pandas, scikit etc), R, Tableau, Julia, Spark, Stata, D3, Redash, etc learning new tools as necessary.
- Proficient with engineering tools to accomplish tasks e.g. git, the command line, shell scripting, public REST APIs
- Deep ability to self-direct and prototype, implement and optimize analytics projects to discover, synthesize insights and strategies from vast and complex datasets, with the goal of driving improvement and positive change for the company and our clients.
- Proficient in writing scripts implementing business logic for analysis, insight discovery, and business automation.
- Excellent quantitative and statistical sense and of experimental design.

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